Yuri Faenza joined the Department of Industrial Engineering and Operations Research as an Assistant Professor in 2016.
Prior to that, he received a Ph.D. in Operations Research from the University "Sapienza" of Rome (Italy). He was then a post-doc at the University of Padua (Italy), EPFL (Switzerland), and University of Brussels (Belgium).
In 2014, he was awarded an Ambizione Fellowship by the Swiss National Science Foundation for his project "Tight formulation of 0-1 problems", that focused on understanding the power and limits of geometric algorithms for solving discrete optimization problems.
His main areas of interest lie in Mathematical Programming, Combinatorial Optimization, Polyhedral Combinatorics, and their applications.
Yash Kanoria is the Sidney Taurel Associate Professor of Business in the Decision, Risk and Operations division at Columbia Business School, working primarily on matching markets and the design and operations of marketplaces. Previously, he obtained a BTech from IIT Bombay in 2007, a PhD in Electrical Engineering from Stanford in 2012, and spent a year at Microsoft Research New England during 2012-13 as a Schramm postdoctoral fellow. He received an NSF CAREER Award in 2017, a Simons-Berkeley Research Fellowship in 2015 and an INFORMS JFIG paper competition second prize in 2014.
Xunyu Zhou joined the IEOR Department in 2016 as the Liu Family Professor. He is an IEEE fellow and a SIAM fellow, and recipient of many awards and honors, including the Wolfson Research Award from The Royal Society, the Outstanding Paper Prize from SIAM, the Humboldt Distinguished Lecturer and the Alexander von Humboldt Research Fellowship. He was an invited speaker at the 2010 International Congress of Mathematicians. Before joining Columbia, he was the Nomura Professor of Mathematical Finance at University of Oxford, heading the Mathematical and Computational Finance Group and directing the Oxford-Nie Financial Big Data Lab. He has been a Council Member of the Bachelier Finance Society since 2014.
Zhou has published over 110 scholarly papers, one research monograph, and three edited volumes. He is
or was on the editorial board of Mathematical Finance, Operations Research, Mathematics of Operations Research, SIAM Journal on Control and Optimization, SIAM Journal on Financial Mathematics, and IEEE Transactions on Automatic Control. A Principal Investigator of numerous academic and industrial grants, his research areas range from stochastic control, mathematical finance/financial engineering, stochastic analysis, to manufacturing systems.
Professor Whitt joined Columbia University’s IEOR Department in 2002, after spending 25 years in research at AT&T, first at Bell Labs and then at AT&T Labs, where he was a technology leader and an AT&T fellow. At Columbia, Professor Whitt teaches courses on stochastic processes and their applications. Professor Whitt’s research interests include stochastic processes, stochastic-process limits, queues, numerical transform inversion, telecommunication applications, and customer contact centers. He has over 250 research publications. In 1996 he was elected to the National Academy of Engineering.
Professor Vineet Goyal joined the Industrial Engineering and Operations Research Department in 2010. He received his Bachelor's degree in Computer Science from Indian Institute of Technology, Delhi in 2003 and his Ph.D. in Algorithms, Combinatorics and Optimization (ACO) from Carnegie Mellon University in 2008. Before coming to Columbia, he spent two years as a Postdoctoral Associate at the Operations Research Center at MIT.
Professor Goyal is interested in the design of efficient and robust data-driven algorithms for large scale dynamic optimization problems with applications in energy markets and revenue management problems. His research has been continually supported by grants from NSF and industry. He received the NSF CAREER Award in 2014 and a Google Faculty Research Award in 2013.
Professor Van-Anh Truong joined the Industrial Engineering and Operations Research Department in 2010. She received a Bachelor's degree from University of Waterloo in Mathematics in 2002, and a Ph.D. from Cornell University in Operations Research in 2007. Before coming to Columbia, Professor Truong was a quantitative associate at Credit Suisse, and a quantitative researcher at Google.
Professor Truong is interested in a broad class of problems that arise in Operations Management. These problems address decision making under uncertainty in information-rich and highly dynamic environments. Her research focuses on developing approaches to circumvent the “curse of dimensionality” in these problems.
Her recent work focuses on online algorithmic approaches for modern service systems, particularly healthcare systems, and e-commerce. Previously, she has developed new algorithms with theoretical performance guarantees for multi-period inventory problems in capacitated and multi-echelon settings; and multi-product, multi-resource, dynamic capacity-expansion problems. She has also studied the role of strategic inventory waitlists in retail settings.
Professor Pham’s business expertise covers the areas of marketing strategy and management, branding, customer and consumer psychology, trademark psychology, marketing communication, and executive decision making. His most recent research focuses on the role of feelings, emotions and motivation in consumers’ and managers’ judgments and decisions. His numerous publications are widely cited and have appeared in many leading scholarly journals including the Journal of Consumer Research, the Journal of Marketing Research, the Journal of Consumer Psychology, International Journal of Research in Marketing, Psychological Science, Organizational Behavior and Human Decision Processes, Personality and Social Psychology Review, and the Review of General Psychology. He is a past President and Fellow of the Society for Consumer Psychology, the leading professional organization for the advancement of the psychological science of the consumer. He teaches in the MBA, EMBA, PhD and Executive Education Programs and is Research Director of the Center on Global Brand Leadership and co-faculty director of the Brand Leadership Program for business executives.
Tomomichi Amano is an Instructor of Marketing at Columbia Business School. His research focuses on understanding product line decisions and the diffusion of innovation, particularly in the contexts of markets or products that have substantial environmental consequences. He teaches a core marketing course to undergraduates. Before joining Columbia, he received his MA in Economics and PhD in Marketing from Stanford University.
Professor Kachani conducts research in the fields of dynamic pricing, revenue management, machine learning, logistics, supply chain management, algorithmic trading, statistical arbitrage, traffic flow modeling, and transportation analysis. He is an affiliated member of two centers of the Columbia Data Science Institute: The Financial and Business Analytics Center and the Foundations of Data Science Center. He is also an affiliated member of the Columbia Center for Financial Engineering and the Computational Optimization Research Center. He teaches courses at the undergraduate and graduate levels in the areas of quantitative corporate finance, industrial economics, operations consulting, logistics, pricing, and production and inventory planning.
In 2014, Professor Kachani was appointed Vice Provost. In this role, he oversees the development of Columbia University’s teaching and learning strategies. Prior to that, he served as Special Assistant to the Provost.
In addition, Professor Kachani serves as Senior Vice Dean of the School of Engineering and Applied Science. He is an elected representative of the faculty of Columbia Engineering on the Columbia University Senate, where he is a member of the University Senate Executive Committee and the Chair of the University Senate Budget Committee.
At Class Day Ceremonies, Professor Kachani was honored with the Columbia Engineering School Alumni Association 2005 Distinguished Faculty Teaching Award for excellence in teaching and devotion to mentoring students, the 2007 Edward and Carole Kim Award for Faculty Involvement for going above and beyond the call of duty to foster student success, and the 2010 Janette and Armen Avanessians Diversity Award for outstanding performance in enhancing diversity in departmental, school and university programs at Columbia. He was also the recipient of the 2012 Egleston Distinguished Service Award for exceptional achievement, leadership and contributions to the excellence of Columbia University.
Prior to joining Columbia, Professor Kachani worked as a senior consultant in the Boston office of McKinsey & Company. He has continued to consult to McKinsey, to large corporations and to startups in the areas of pricing, analytics, supply chain management, operations, asset management, and corporate finance.
Professor Kachani received a Ph.D. in Operations Research from the Massachusetts Institute of Technology. He also holds a Master of Science in Operations Research from MIT and a Diplôme d'Ingénieur in Applied Mathematics from École Centrale Paris.
Silvia Bellezza is an Assistant Professor of Marketing at Columbia Business School. Her research focuses on consumer behavior and symbolic consumption–how consumers use products and brands to express who they are and signal status. Professor Bellezza’s work uncovers the role of alternative signals of status (e.g., nonconforming behaviors, lack of leisure time) and establishes new perspectives on brand communities (e.g., the distinction between “Brand Tourists” and “Brand Immigrants”).
Professor Bellezza’s research has been published in top-tier academic journals including, Journal of Consumer Research, Journal of Marketing Research, and Management Science. Her work has also received extensive coverage in popular outlets, such as the New York Times, BBC, The Wall Street Journal, The Washington Post, The Atlantic, and Scientific American.
Before joining Columbia, she earned her doctorate in Marketing at Harvard Business School and worked in the marketing departments of L.V.M.H and Dannon. Professor Bellezza currently teaches a core marketing course to MBA and executive MBA students.
Shipra Agrawal joined the Department of Industrial Engineering and Operations Research as an Assistant Professor in Fall 2015.
Shipra received her PhD in Computer Science from Stanford University (2011), after which she joined Microsoft Research India as a postdoctoral research fellow, where she continued as a researcher from July 2013.
Shipra's research spans several areas of optimization and machine learning, including data-driven optimization under partial, uncertain, and online inputs, and related concepts in learning, namely multi-armed bandits, online learning, and reinforcement learning. She is also interested in prediction markets and game theory. Application areas of her interest include, but are not limited to, internet advertising, recommendation systems, revenue management and resource allocation problems.
Professor Agrawal looks forward to welcoming students and to teaching undergraduate and graduate courses in Industrial Engineering and Operations Research.
Santiago Balseiro is an Assistant Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University. He teaches the core MBA class Business Analytics.
His primary research interests are in the area of dynamic optimization, stochastic systems and game theory with applications in revenue management and internet advertising. His recent work studies the design and operation of display advertising exchanges. His research has been recognized by the 2014 George B. Dantzig Dissertation Award, an honorable mention in the 2014 George Nicholson Student Paper Competition, the 2015 Google Faculty Research Award, the 2012 Networks, Electronic Commerce and Telecommunications Institute Summer Grant, the 2011 Deming Doctoral Fellowship, and the 2010 Google Engineering Scholarship.
Professor Balseiro is a graduate of University of Buenos Aires and received his Ph.D. from Columbia University’s Graduate School of Business in 2013. Before joining Columbia, he was on the faculty at the Fuqua School of Business, Duke University.
Professor Ran Kivetz is a tenured professor at Columbia University Business School, where he holds the Philip H. Geier endowed chair. Professor Kivetz is a leading expert in the areas of behavioral economics, decision-making, marketing, customer behavior, incentives, and innovation. His experience in these fields includes over twenty years of research, management, consulting, and teaching. His latest research explores political science and political psychology through the lens of behavioral economics and decision research.
Professor Kivetz’s research has won many prestigious awards, including multiple “Best Paper” awards, being a recipient of the New York Times annual “Best Idea” award, and being ranked as the third most prolific scholar in his field during 1982–2006. Professor Kivetz’s research has been covered by major print and broadcast media (e.g., ABC, The Atlantic, BBC, Bloomberg Businessweek, CNN, Chicago Tribune, FOX News, The New York Times, SmartMoney, Time, U.S. News & World Report, & WSJ).
Professor Kivetz’s teaching has won the Columbia Business School Dean’s Award for Innovation in the Curriculum. Some of the courses that Professor Kivetz has developed and taught include High-Technology Entrepreneurship, Marketing of Nation, and Bridging Behavioral Economics and Marketing Science.
Professor Kivetz has advised Fortune 500 companies, government agencies, and entrepreneurial ventures from a variety of industries. He has worked with organizations on strategy, decision-making, marketing, innovation, branding, customer behavior, incentive systems, marketing research, and intellectual property.
Professor Kivetz earned a Ph.D. in business and an M.A. in psychology from Stanford University and a B.A. in economics and psychology from Tel Aviv University.
Rajeev Kohli is a professor in the Graduate School of Business at Columbia University. He has a doctoral degree in Applied Economics and Decision Sciences from the University of Pennsylvania; an MBA from Northern Illinois University; and a bachelor's degree in Electrical Engineering from BITS, Pilani, India. His research interests are in models of consumer preference and choice, techniques for new product development, Internet technology and personalization, analysis of algorithms, and combinatorial optimization. He has published articles on these subjects in leading journals in marketing, management science, operations research, mathematical psychology, computer science, and discrete mathematics. He teaches courses on new product development and marketing models to MBA, executive MBA, and doctoral students. He also teaches executive programs on innovation, creativity, and new product development in the United States, Asia, and Europe.
Professor Glasserman's research and teaching address risk management, derivative securities, Monte Carlo simulation, statistics and operations. Prior to joining Columbia, Glasserman was with Bell Laboratories; he has also held visiting positions at Princeton University, NYU, and the Federal Reserve Bank of New York. In 2011-2012, he was on leave from Columbia and working at the Office of Financial Research in the U.S. Treasury Department, where he continues to serve as a part-time consultant.
Glasserman's publications include the book Monte Carlo Methods in Financial Engineering (Springer, 2004), which received the 2006 Lanchester Prize and the 2005 I-Sim Outstanding Publication Award. Glasserman is a past recipient of the National Young Investigator Award from the National Science Foundation (1994 - 99), IBM University Partnership Awards (1998 - 2001), the TIMS Outstanding Simulation Publication Award (1992), the Erlang Prize (1996), the IMS Medallion from the Institute of Mathematical Statistics (2006), and a fellowship from the FDIC Center for Financial Research (2004). He received the 2004 Wilmott Award for Cutting-Edge Research in Quantitative Finance and Risk Magazine's 2007 Quant of the Year Award, and he received a U.S. patent for an option pricing method. He was named an INFORMS Fellow in 2008. He is also a two-time recipient of the Dean's Award for Teaching Excellence (1994, 2000). Glasserman serves on the editorial boards of Finance & Stochastics, Mathematical Finance, the Journal of Derivatives, and Stochastic Systems.
Glasserman was senior vice dean of Columbia Business School in 2004-2008 and served as interim director of the Sanford C. Bernstein & Co. Center for Leadership and Ethics in 2005-2007. He currently serves as research director of the Program for Financial Studies.
Omar Besbes is an Associate Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University.
His primary research interests are in the are of data-driven decision-making with a focus on applications in e-commerce, pricing, and revenue management, online advertising, operations management, and service systems. His research has been recognized by the 2012 INFORMS Revenue Management and Pricing Section prize as well as the 2013 M&SOM best paper award. He serves on the editorial boards of Management Science and Operations Research.
He has taught over the years core MBA courses in Operations Management and Business Analytics, an MBA elective on advanced Business Analytics, as well as various Ph.D. seminars on stochastic models, revenue management and data-driven decision-making. He is a recipient of the Dean's award for teaching excellence in the core at Columbia Business School.
Omar is a graduate of Ecole Polytechnique (France) and received an M.Sc. from Stanford University in 2000 and a Ph.D. from Columbia University in 2008. Before joining Columbia, he was on the faculty at the Wharton School, University of Pennsylvania.
Olivier Toubia is the Glaubinger Professor of Business at Columbia Business School, where he also serves as Faculty Director for the Lang Entrepreneurship Center. His research focuses on various aspects of innovation, including preference measurement and idea generation. Specifically, he combines methods from social sciences and data science, in order to study human processes such as motivation, choice, and creativity. He teaches a course on Customer-Centric Innovation, a course on the commercialization of research (Research to Revenue), and the core marketing course. He received his MS in Operations Research and PhD in Marketing from MIT.
Professor Netzer's research centers on one of the major business challenges of the data-rich environment of the 21st century: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time, and across contexts. His research has won multiple awards and has been published in the leading scholarly journals. He serves on the editorial board of several leading journals including: Marketing Science, Management Science, Quantitative Marketing and Economic, and International Journal of Research in Marketing. Oded teaches the core marketing course to MBA and undergraduate students, a course in Marketing Research to MBA and Executive MBA students, a doctoral course on empirical research in marketing, as well as several executive education programs.
Professor Capon teaches the Marketing Strategy core course and the electives Strategic Marketing in the Modern Corporation and Developing and Managing Strategic Customers. His research interests are in key/strategic account management, and marketing planning and strategy. He has published more than 80 articles, book chapters and books. His latest books —Managing Global Accounts, The Marketing Mavens and a marketing-planning workbook, The Virgin Marketer. His textbooks, Managing Marketing in the 21st Century and Capon's Marketing Framework (and their corresponding Student Study Guides) printed books and downloadable PDFs, address the high cost of college textbooks and are available for reading online on a pay-what-it’s-worth basis. Capon received the Columbia Business School GBA award for outstanding teaching, as well as the Chazen International Innovation Prize. He has taught in many countries and held visiting professor appointments in France, Great Britain, Hong Kong, and the People's Republic of China.
Professor Arnosti teaches the MBA core class B6102 Operations Management. His research focuses on market design, with particular emphasis on online marketplaces (such as Airbnb, e-Bay, and markets for display advertising) and matching markets (for example, assigning students to public schools and medical students to residencies).
Professor Fraiman joined the faculty after a 17-year career at International Paper Company, where his most recent position was chief technology officer for eight manufacturing divisions. Prior to this he developed and managed a group responsible for productivity improvement and process innovation, and still earlier he directed company-wide educational activities. Fraiman teaches operations and technology management. His research explores institutionalizing quality improvement. He specializes in the retailing, consulting and process industries.
Professor Holbrook has taught marketing strategy, sales management, consumer behavior, and commercial communication in the culture of consumption. He has conducted research on the validity of perceptual and preference mapping and on consumer aesthetics applied to responses toward radio listening, jazz recordings, and classical music. His current research studies consumption experiences, nostalgia, communication effects, semiotics, and hermeneutics in marketing, as well as symbolic consumption in works of art, interpretive methods, techniques of visual representation, and aspects of consumer responses to pop culture and entertainment.
Miklos Sarvary is the Carson Family Professor of Business and the faculty lead for the Media and Technology Program at Columbia Business School. Miklos' broad research agenda focuses on media and information marketing. His most recent papers are studying agenda setting, user-generated content, social network competition and online/mobile advertising. Previously, he worked on media and telecommunications competition. He is member of the Editorial Boards of Marketing Science, Quantitative Marketing and Economics, International Journal of Research in Marketing and Journal of Interactive Marketing. Prior to joining Columbia, Miklos was the Deputy Dean for Executive Development Programs at INSEAD. He has taught executive courses and consulted in various parts of the world for large corporations, including IBM, INTEL, Nokia, Alcatel, Samsung, Pearson, McKinsey & Co., Dun & Bradstreet and PwC. Before joining INSEAD, Miklos was also a faculty member at the Harvard Business School and the Graduate School of Business at Stanford University. He studied physics in Hungary’s Eotvos Lorand University, earned an MS in Statistics from Ecole Nationale Supérieure des Mines de Paris and a Ph.D. in Management from INSEAD. Prior to becoming an academic, he worked for IBM.
Professor Medini Singh joined Columbia Business School in 2001 as a member of the Decision, Risk, and Operations Division. He teaches a variety of courses in Columbia’s MBA and Executive MBA programs, including the core course in Operations Management and electives in Supply Chain Management, Operations Strategy, and Service Operations Management. He also teaches regularly in executive education programs in top institutions in U.S., China, India and Latin America. Graduating MBA students selected him as the winner of the Singhvi Prize for Scholarship in the Classroom in 2015 for his dedication to teaching and ability to communicate knowledge. In 2011, he received the Dean’s Award for Teaching Excellence at Columbia Business School. Professor Singh has also taught at the Tuck School of Business at Dartmouth College and in the Department of Industrial and Operations Engineering at the University of Michigan, Ann Arbor, where he won the Teacher of the Year Award in 1991. He has also held visiting professorships at Shanghai Jiao Tong University and Indian School of Business, Hyderabad.
Professor Singh is a member of the advisory board for the W. Edwards Deming Center for Quality, Productivity, and Competitiveness. His research focuses on service and supply chain design, at both the tactical and strategic level. Recently, he has been interested in the role of speed in competitiveness and in the risks and rewards of process outsourcing and off-shoring. His articles have appeared in leading journals, including Operations Research, Management Science, and IEEE Transactions on Robotics and Automation. He has served as associate editor of IIE Transactions and Production and Operations Management and on the editorial board of several journals, including Manufacturing & Service Operations Management and Production and Operations Management. He has also served as thesis advisor for a number of master’s and doctoral students.
Professor Singh holds a B.E. in industrial engineering from the Indian Institute of Technology, Roorkee (India) and an M.E. in mechanical engineering, an M.S. in manufacturing and operations systems and a Ph.D. in industrial administration, all from Carnegie Mellon University, Pittsburgh. He has consulted for several Fortune 500 companies and has received research grants from a number of governmental and private funding agencies, including National Science Foundation, Electric Power Research Institute, GM Advanced Engineering and Whirlpool Foundation. He was the recipient of the Best Dissertation Award from Production and Operations Management Society (1990) and the IBM Manufacturing Research Fellowship from IBM’s T. J. Watson Research Center (1988-1990).
Professor Broadie currently teaches the elective courses Security Pricing: Models and Computation, Computational Finance, and Programming for Business Research. He is an Academic Advisory Board Member for the Program for Financial Studies. His research interests include the pricing of derivative securities, risk management and, more generally, quantitative methods for decision-making under uncertainty. Broadie is the financial engineering area editor of Operations Research and serves on the editorial boards of Finance and Stochastics, SIAM Journal of Financial Mathematics and Computational Management Science and was previously editor-in-chief of the Journal of Computational Finance. Professor Broadie received two Dean's awards for teaching and has given seminars and courses for financial professionals throughout the world. He is the vice chairman of Enterprise Risk Management Institute International (ERM-II), a non-profit organization dedicated to promoting education, research and training of enterprise risk managers. He has served as a consultant for a number of financial firms.
Professor Green earned her doctorate in Operations Research from Yale University. Her research, which has focused on the development and application of mathematical models of service systems, has resulted in dozens of publications in the premier technical journals such as Operations Research and Management Science as well as prominent healthcare journals such as Health Services Research, Inquiry and Academic Emergency Medicine. Her current research focuses on improving the delivery of healthcare by providing policy insights and operational methodologies to increase efficiency, effectiveness and access. Specific projects include reducing delays for emergency care, providing timely access to primary care, the development of new nurse staffing methodologies and the identification of primary physician and hospital bed capacity needs. She is co-founder and co-director of the Columbia Alliance for Healthcare Management, a unique partnership of the College of Physicians and Surgeons, the Mailman School of Public Health and the Business School, dedicated to promoting interdisciplinary research and education in healthcare management. She has been a consultant for both private and public sector organizations and has served on several advisory boards. Prior to joining Columbia, she worked at AT&T and Bell Laboratories. She has been an Associate Editor for Management Science and Operations Research and the Department Editor for Public Sector Applications for Management Science. In recognition of her professional achievements, Professor Green was elected a Fellow of INFORMS.
Henry Lam joined the Department of Industrial Engineering and Operations Research (IEOR) as an Associate Professor in Fall 2017. He obtained his Ph.D. degree in statistics from Harvard University in 2011. Before joining IEOR, he was on the faculty of the Department of Industrial and Operations Engineering at the University of Michigan.
Henry researches in the areas of Monte Carlo simulation, risk analysis, and stochastic and robust optimization. His current work focuses on developing new methodologies for data integration, uncertainty quantification, and efficient computation in these areas. His work has been recognized by the Faculty Early Career Development Award from the National Science Foundation, the Junior Faculty Interest Group Paper Competition Second Prize from the Institute for Operations Research and the Management Sciences (INFORMS), the George Nicholson Paper Competition Honorable Mention Prize from INFORMS, and the Adobe Faculty Research Award. He is currently an Associate Editor for Operations Research and INFORMS Journal on Computing.
Kinshuk Jerath is the Class of 1967 Associate Professor of Business in the Marketing Division at Columbia Business School. His research is in the area of technology-enabled marketing, primarily in online advertising, online and offline retailing and customer management, and he focuses on strategy development and measurement with data. His research has appeared in top-tier marketing journals, such as Marketing Science, Management Science, Journal of Marketing Research, and Journal of Interactive Marketing. He is on the editorial board of the journals Marketing Science, Production and Operations Managementand Customer Needs and Solutions. He has consulted for several Fortune 500 companies and has served as an expert in legal cases. He received a B.Tech. degree in Computer Science and Engineering from the Indian Institute of Technology Bombay and a Ph.D. degree in Marketing from the Wharton School of the University of Pennsylvania. Prior to being at Columbia, he was on the faculty of the Tepper School of Business at Carnegie Mellon University.
Professor Wilcox’s research examines consumer judgment and decision-making, with a specific focus on the role of feelings in decision-making and self-control. He is also interested in understanding the factors that motivate consumers to purchase counterfeit and genuine luxury brands. He has published articles in the Journal of Marketing Research and the Journal of Consumer Research. Additionally, his research has been featured in the New York Times, Time Magazine and Psychology Today. Professor Wilcox teaches a core marketing course to undergraduates and executive MBAs.
Professor Karl Sigman joined Columbia University’s Industrial Engineering and Operations Research Department in 1987. Professor Sigman was the recipient of the Distinguished Faculty Teaching Award both in 1998 and in 2002. He teaches courses in stochastic models, financial engineering, and queueing theory. Before joining Columbia, Professor Sigman was a postdoctoral associate at the Mathematical Sciences Institute at Cornell University. As of July 2011, Professor Sigman is currently the Director of Undergraduate Programs.
Professor Karl Sigman’s research interests include queueing theory, stochastic networks, point processes, insurance risk, and economics. He has published in numerous journals including Stochastic Processes and Their Applications, Queueing Systems, Journal of Applied Probability, and Mathematics of Operations Research.
Introduction to Stationary Marked Point Processes: An Intuitive Approach. Chapman and Hall.
Kamel Jedidi is the John Howard Professor of Business and the Chair of the Marketing Division at Columbia Business School, New York. He holds a bachelor’s degree in Economics from University of Tunis and Master and Ph.D. degrees in Marketing and Statistics from the Wharton School, University of Pennsylvania. Dr. Jedidi has extensively published in leading marketing and statistical journals. His research interests include pricing, product positioning, and market segmentation. He was awarded the 1998 IJRM Best Article Award and the Marketing Science Institute 2000 Best Paper Award. He was also finalist for 2009 Paul Green Award for the Journal of Marketing Research and for the 2009 Long-term Impact Paper Award for Marketing/Management Science. Dr. Jedidi is senior Editor for the Consumer Needs and Solutions Journal and serves on the editorial board for the Journal of Business-to-Business Marketing. Dr. Jedidi has conducted seminars at several business conferences and universities and also spoken at and consulted with several multinational companies. He is a Founding Trustee of the Marketing Accountability Standards Board (MASB), a member of the Faculty Steering Committee, Columbia Global Centers (Amman), a Senior Editor for Rutgers Business Review, and a member of the Academic Council of ENPC’s School of International Management.
Areas of Expertise
Professor Jose Blanchet joined the IEOR Department in 2008, he received his Ph.D. in Management Science and Engineering from Stanford University in 2004. Prior to joining Columbia he was a faculty member in the Statistics Department at Harvard University, where he taught for nearly four years. Professor Blanchet worked for two years at Protego Financial Advisors, a leading investment bank in Mexico. Blanchet's interests include applied probability, computational finance, MCMC, queueing theory, rare-event analysis, simulation methodology, and risk theory.
Professor Blanchet is a recipient of both the 2009 Best Publication Award given by the INFORMS Applied Probability Society and of the 2010 Erlang Prize, both given biannually and alternating, the later given to an outstanding applied probabilist within nine years after completing the first PhD degree. He also received a Presidential Early Career Award for Scientists and Engineers in 2010.
Professor Blanchet serves in the editorial board of some of the main journals in stochastic operations research, including: Advances in Applied Probability, Journal of Applied Probability, Mathematics of Operations Research, QUESTA, and Stochastic Systems. He currently serves in the organizing committee for the program on Computational Challenges in Probability hosted at the Institute of Computational and Experimental Research in Mathematics affiliated to Brown University.
Jing Dong is an Assistant Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University. Her primary research interests are in applied probability and stochastic simulation, with an emphasis on applications in service operations management. Her current research focuses on developing data-driven stochastic modeling to improve patient flow in hospitals.
Jay Sethuraman joined Columbia University's Department of Industrial Engineering and Operations Research Department in 1999. His research interests are in the areas of scheduling, discrete optimization and its applications, and applied probability. He is currently the Director of the PHD program for Industrial Engineering and Operations Research Department.
Professor Hulbert teaches the elective Strategic Marketing Planning, serves as faculty director of the School’s executive education program on marketing management and is a consultant to major corporations around the world. His research studies strategy, planning and organization. He is working on a theory of marketing organization and the evolution of the brand management system and is also writing a book on integrated marketing to be published in 2001. Hulbert has published more than 70 articles and books on planning and strategy and has been a visiting professor in Wales, France, Brazil, Australia, England and Iran. (See research.)
Jacob Goldenberg is a professor of Marketing at the School of Business Administration in the Hebrew University of Jerusalem, and a visiting professor in the Columbia business school and in IDC. He received his Ph.D. from the Hebrew University of Jerusalem in a joint program of the School of Business Administration and the Racach Institute of Physics. His research focuses on creativity, new product development, diffusion of innovation, complexity in market dynamics and social networks effects. He has published papers in Journal of Marketing, Journal of Marketing Research, Management Science, Marketing Science, Nature Physics and Science. He is the new editor in chief of the International Journal of Research in Marketing, and an academic trustee in the MSI. In addition, he is an author of two books by Cambridge University Press. His scientific work has been covered in the New York Times, the Wall Street Journal, Boston Globe, BBC news, Herald Tribune, The Economist,and Wired.
Professor Leshno teaches the MBA core class Operations Management and the PhD class Foundations of Optimization. His primary research interest is in market design and matching markets. This research uses mathematical modeling, game theory, algorithms and optimization tools to improve allocation methods. Examples include school choice algorithms and assignment of public housing.
Hitendra Wadhwa is Professor of Practice at Columbia Business School and founder of the Institute for Personal Leadership (IPL). He teaches Columbia's most popular MBA leadership class on Personal Leadership & Success. He also teaches MBA and Executive Education programs on Driving Strategic Impact and Leading from the Inside Out, and has received the 2015 Executive-MBA Commitment to Excellence Award, the 2012 Dean's Award for Teaching Excellence, and the 2008 Columbia Marketing Association Award for the Most Dynamic and Engaging Professor.
Prof. Wadhwa's widely acclaimed research and teaching on leadership have been covered by Fortune, Psychology Today, BBC World Service, Inc., Financial Times, and Wall Street Journal. The institute he has founded, IPL, is at the forefront of the new science of Personal Leadership, training executives in how to maximize Outer Impact through Inner Mastery. His clients include SAP, Pfizer, Ericsson, GE, Godrej Group, Microsoft, Standards & Poors and Bayer.
In the past, Hitendra was a consultant at McKinsey & Company and the CEO/founder of a Silicon Valley start-up, Paramark, which was twice recognized as a Top-100 Internet technology company by Technologic Partners/Venture Wire. He received his MBA and PhD in Management Science from the Sloan School at MIT, and his B.A. (Honors in Mathematics) from St. Stephens College, University of Delhi, where he graduated top of his class.
Professor Guillermo Gallego joined Columbia University's Industrial Engineering and Operations Research Department in 1988 where he has been conducting research in the areas of inventory theory, supply chain management, revenue management, and dynamic pricing. He was named an Informs Fellow in 2012 and has been the recipient of many awards including the Informs Revenue Management Section Prize (2005), the Revenue Management Historical Prize (2011) and the Revenue Management Practice Prize (2012). Professor Gallego has published influential papers in the leading journals of his field where he has also occupied a variety of editorial positions. His work has been supported by numerous industrial and government grants.
Professor Gallego has consulted for Hewlett Packard, IBM, Lucent, Nomis Solutions, and Sabre Airline Solutions. He has also worked with government agencies such as the National Research Council, the National Science Foundation and the Ireland Development Agency. His graduate students are associated with prestigious universities. He spent his 1996–97 sabbatical at Stanford University and was a visiting scientist at the IBM Watson Research Center from 1999 to 2003. He was the chairman of the IEOR Department from July 2002 to June 2008.
Gita V. Johar (PhD NYU 1993; MBA Indian Institute of Management Calcutta 1985) has been on the faculty of Columbia Business School since 1992 and is currently the Meyer Feldberg Professor of Business. She served as the school’s Senior Vice Dean from 2011 to 2014, as the inaugural Vice Dean for Research from 2010 to 2011, as Director of the Columbia Business School Behavioral Lab from 2006 to 2011, and on Columbia University’s Institutional Review Board from 2002 to 2005. Professor Johar is also the Faculty Director of the Marketing and Innovation Executive Education program, Chair of the Faculty Steering Committee for the Columbia Global Centers | South Asia in Mumbai, and the editor of the premier academic journal on consumer behavior, theJournal of Consumer Research. Professor Johar's expertise lies in consumer psychology, focusing on how consumers react to marketing efforts, especially advertising, promotions and sponsorship. She also examines the influence of consumer self-control and perceptions of control on decision making and consumption. This research has implications for the design of effective communication strategies. She has published several influential articles in the areas of consumer persuasion and decision making in leading marketing and psychology journals. Professor Johar has also published cases on consumer adoptions of new products and on marketing and advertising planning and teaches courses on Advertising and Branding, Global Immersion: India, Global Immersion: Myanmar, Research Methods, and Consumer Behavior to MBA, Executive MBA and PhD students.
Garrett van Ryzin is the Paul M. Montrone Professor Emeritus of Decision, Risk, and Operations at the Columbia University Graduate School of Business. In 2015, he joined Uber Technologies as Head of Marketplace Optimization Advanced Development. In 2017, he became Professor of Operations, Information and Technology Management at Cornell Tech.
Professor van Ryzin's research interests include analytical pricing, stochastic modeling, and operations management. He is coauthor of the book The Theory and Practice of Revenue Management, which won the 2005 Lanchester prize for best published work in operations research. His research has been supported by grants from the National Science Foundation and major corporations, and he has served as a consultant to many leading companies. Hehas been Editor in Chief of M&SOM, Area Editor for Operations Research, and an INFORMS and an MSOM Fellow. He received the B.S.E.E. degree from Columbia University and the degrees of S.M. in Electrical Engineering and Computer Science and Ph.D. in Operations Research from MIT.
Professor Zheng teaches the MBA core class Operations Management and the PhD class Introduction to Econometrics and Statistical Inference. Her research focuses on industrial organization, applied econometrics, and the interface between economics and operations management.
Professor Chen's main research area is supply chain management. He has published extensively in many of the field's top academic journals such as Management Science and Operations Research. His research has addressed issues in production/distribution planning, procurement auctions, supplier management, supply chain coordination, supply chain information sharing, incentive contracts, salesforce incentives, etc. Professor Chen received the prestigious CAREER Award from the National Science Foundation (USA), 1997. In 2004, he received the Overseas Chinese Young Investigator Award from the National Natural Science Foundation of China. In 2005, he was appointed the Distinguished Visiting Professor by the Chinese Academy of Science. In 2006, he was named the Chang Jiang Scholar by the Ministry of Education, China. Professor Chen held, and continues to hold, numerous leadership positions in his profession: Area Editor for Operations Research (responsible for the Manufacturing, Service, and Supply Chain Operations area), Departmental Editor for Management Science (Supply Chain Management Department), Senior Editor for Manufacturing & Service Operations Management, and Editorial Board Member of Marketing Science. In 2006, he served as the President of the Manufacturing & Service Operations Management Society in the United States (MSOM). In 2007, he founded the Overseas Chinese Scholars Association in Management Science and Engineering. He is the current President of OCSAMSE.
Eva Ascarza is an Associate Professor of Marketing at Columbia Business School. She is a marketing modeler who uses tools from statistics and economics to answer relevant marketing questions. Her main research areas are customer analytics and customer retention in the context of subscription businesses. She specializes in understanding and predicting changes in customer behavior, such as customer retention, usage, and e-mail engagement. She uses field experimentation (e.g., A/B testing) as well as econometric modeling and machine learning tools not only to understand and predict patterns of behavior, but also to optimize the impact of firms’ interventions.
Her research has appeared in leading marketing journals including Marketing Science and Journal of Marketing Research. She received her PhD and MPhil from London Business School (UK), a MS in Economics and Finance from Universidad de Navarra (Spain), and a B.S. Mathematics from Universidad de Zaragoza (Spain). Before joining Columbia Business School in 2010, she was a visiting lecturer at London Business School where she taught Advanced Multivariate Statistics and Analysis for Marketing Planning. At Columbia Business School, Professor Ascarza teaches strategic marketing in the Executive MBA program.
Eric Johnson is a faculty member at the Columbia Business School at Columbia University where he is the inaugural holder of the Norman Eig Chair of Business, and Director of the Center for Decision Sciences. His research examines the interface between Behavioral Decision Research, Economics and the decisions made by consumers, managers, and their implications for public policy, markets and marketing. Among other topics, Johnson has explored how the way options are presented to decision-makers affect their choices in areas such as organ donation, the choice of environmentally friendly products, and investments. Prof. Johnson’s research and comments have appeared in The New York Times, The Wall Street Journal, Money, Discover, Business Week and The Financial Times, and on The CBS Evening News and National Public Radio. His research has been published in the Science, Psychological Review, Psychological Science, Nature Neuroscience, Harvard Business Review, the Journal of Economic Theory, and many other consumer, economic, marketing and psychology journals. He has co-authored two books: Decision Research: A Field Guide, published by Sage Publications and The Adaptive Decision-Maker published by Cambridge University Press, and is currently working on a book on choice architecture. After graduation from Rutgers University, he received his M.S. and PhD. in Psychology from Carnegie-Mellon University, and was a National Science Foundation postdoctoral fellow at Stanford.
He previously has taught at Carnegie Mellon, was a visiting professor at the Sloan School at MIT, was the inaugural holder of the David W. Hauck Chair in Marketing, and a Professor of Operations and Information Management and Psychology at the University of Pennsylvania. The National Science Foundation, The National Institutes of Health, The Alfred P. Sloan and Russell Sage Foundations, and the Office of Naval Research have supported his research. He was awarded the Distinguished Scientific Contribution Award from the Society for Consumer Psychology, and named a Fellow by the Association for Consumer Research, was awarded an honorary doctorate in Economics from the University of St. Gallen, and is a Fellow of the TIAA-CREF Institute Fellow and the Association for Psychological Science. According to the Institute for Scientific Information, he is one of the most highly cited scholars in Business and Economics. He has been an Associate Editor of the Journal of Consumer Psychology, and is a member of several editorial boards as well as the Senior Editor for Decision Sciences at Behavioral Science and Policy and an Editor at Frontiers in Decision Neuroscience.
Professor Emanuel Derman joined Columbia University's Industrial Engineering and Operations Research Department in 2003. Prior to joining Columbia, he was a managing director at Goldman Sachs, where he was head of the quantitative strategies group in the equities division, and then head of quantitative risk strategies in firm-wide risk. He is currently the Director of the MS Program in Financial Engineering here in Columbia University's Industrial Engineering and Operations Research Department. He is best known for his work on the Black-Derman-Toy interest-rate model and for developing local volatility models of the implied volatility smile. He was the IAFE/Sungard Financial Engineer of the Year in 2000. Professor Derman's research interests include quantitative finance, financial engineering, derivatives valuation, volatility models, and risk management. He has published in numerous journals including the Financial Analysts Journal, RISK, The Journal of Portfolio Management, and The Journal of Derivatives. His recent memoir, My Life as a Quant: Reflections on Physics and Finance, was published in 2004 and was selected as one of Business Week's top ten books of the year.
My Life as a Quant : Reflections on Physics and Finance, Wiley, 2004.
Models. Behaving. Badly. Free Press, 2011
Elizabeth Webb is a faculty member at Columbia's Graduate School of Business. Her research focuses primarily on sequential risk-taking and situational factors that can affect risk attitudes and perceptions over time. Professor Webb is also interested in understanding the mechanisms and processes underlying differences between dynamic and more static choice situations, both as it applies to risk-taking and other domains. In addition, she has research evaluating the psychology of money, as well as emotional experiences in the consumer realm. Professor Webb teaches the Behavioral Economics & Decision Making elective course.
Dylan Possamaï joined the Industrial Engineering and Operations Research Department in Fall 2017. Prior to that, he obtained his engineering degree from École Polytechnique and a Master’s degree from Université Paris 6 in 2009, and started his PhD Thesis in October 2009 under the supervision of Nizar Touzi at École Polytechnique. This thesis titled “A journey through second-order BSDEs and other contemporary problems of mathematical finance” was successfully defended 2 years later in December 2011, and was awarded the 2012 “PhD award of the École Polytechnique”, as well as the third “Nicola Bruti-Liberati prize” in 2013, for the best thesis in mathematical finance.
He has been Assistant Professor at Université Paris Dauphine from September 2012 to September 2017, and Associate Lecturer at École Polytechnique from September 2015 to September 2016, and received in 2017 the "Best young researcher in finance and insurance prize" from the Institut Europlace de Finance.
Professor Lehmann teaches several different marketing courses. His research focuses on individual and group choice and decision making, the adoption of innovation and new product development, and the management and valuation of marketing assets (brands, customers). He is also interested in knowledge accumulation, empirical generalizations and information use. Lehmann has published more than 100 articles and books, serves on the editorial boards of several academic journals and is the founding editor of Marketing Letters. He is a past president of the Association for Consumer Research, former executive director (1993–1995, 2001–2003) of the Marketing Science Institute, and former co-editor of the International Journal of Research in Marketing.
Donald Goldfarb, the Alexander and Hermine Avanessians Professor of Industrial Engineering and Operations Research, has been a faculty member at Columbia Engineering since 1982. He served as Interim Dean of SEAS in 2012-2013, Executive Vice Dean in 2011-2012, Acting Dean of SEAS in 1994-95, and chair of the IEOR Department from 1984 to 2002.
Goldfarb's teaching and research interests include algorithms for linear, quadratic, semidefinite, convex and general nonlinear programming, network flows, large sparse systems, and applications in robust optimization, imaging, machine learning, and finance.
He has published more than 100 technical papers and served on the editorial boards of several journals, including editor in chief of Mathematical Programming, editor of the SIAM (Society for Industrial and Applied Mathematics) Journal on Optimization and the SIAM Journal on Numerical Analysis, and associate editor of Operations Research and Mathematics of Computation. He has been a member of the councils of the Mathematical Programming Society and the American Mathematical Society, numerous technical society program and award committees, and advisory committees to various universities and government research agencies.
In 2012, Goldfarb was named a SIAM Fellow. He was awarded the 2013 INFORMS Khachiyan Prize for Life-time Accomplishments in Optimization, and named one of the World's Most Influential Scientific Minds 2014 by Thomson Reuters as one of the 99 most highly cited researchers in Mathematics between 2002 and 2012.
In 1995, Goldfarb was awarded the Institute for Operations Research and Management Sciences Prize for Research Excellence in the Interface between Operations Research and Computer Science. He also received honorable mention for the 1996 SIAM Optimization Prize and was honored with the 1999 Great Teachers Award from the Society of Columbia Graduates.
Before coming to Columbia, Goldfarb held positions as professor and acting chair in the Department of Computer Science at the City College of New York, visiting professor in the Department of Computer Science and at the School of Operations Research and Industrial Engineering at Cornell University, and assistant research scientist at the Courant Institute of Mathematical Sciences of New York University.
Goldfarb earned a B.Ch.E. from Cornell in 1963 and M.A. and Ph.D. from Princeton in 1965 and 1966, respectively.
Professor Sexton’s research concerns successful global product and brand strategies and is based on both empirical work and his considerable experience with companies throughout the world. A recipient of the School’s Distinguished Teaching Award, Sexton has taught a wide variety of courses in the fields of marketing, international business and management science.
David Yao joined the IEOR Department in 1983, and became a full professor in 1988. He has been an IEEE fellow, and a recipient of many awards, including the Outstanding Paper Prize (2003) from the Society for Industrial and Applied Mathematics, the Franz Edelman Award (1999) from the Institute for Operations Research and Management Sciences, the Outstanding Technical Achievement Award (1999) from IBM, the Guggenheim Fellowship (1991/92) from the Guggenheim Foundation, the Presidential Young Investigator Award (1987-92) from the National Science Foundation, and the George Nicholson Prize (1983) from the Operations Research Society of America.
Author or coauthor of over 160 refereed publications, three books, and five edited volumes, he is the stochastic models area editor of Operations Research, and has served on the editorial board of several other leading journals. A principal investigator of over two dozen research grants and contracts, he has done extensive scientific and consulting work in semiconductor manufacturing, computer systems scheduling, Internet and Web-server performance optimization, and supply chain management. He is a holder of four U.S. patents in manufacturing operations and supply-chain logistics.
Dynamic Control of Quality in Production-Inventory Systems, Springer.
Fundamentals of Queueing Networks, Springer.
Monotone Structure in Discrete-Event Systems, Wiley.
Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chain, Springer.
Stochastic Modeling and Optimization, Springer.
Supply Chain Structures: Coordination, Information and Optimization, Springer.
Stochastic Networks, Springer.
Stochastic Modeling and Analysis of Manufacturing Systems, Springer.
Daniel Lacker joined the Department of Industrial Engineering and Operations Research as an Assistant Professor in Fall 2017. From 2015 to 2017, he was a National Science Foundation postdoctoral research fellow in the Division of Applied Mathematics at Brown University. He received his PhD in Operations Research and Financial Engineering from Princeton University in 2015. Daniel's broad research interests fall within applied probability, stochastic analysis, and mathematical finance. He is particularly focused on the theory and applications of mean field games, a paradigm for modeling large-scale competitive systems.
Professor Daniel Bienstock first joined Columbia University's Industrial Engineering and Operations Research Department in 1989. He received his PhD in Operations Research from MIT. His research focuses on optimization and high-performance computing. A second focus of his research involves the use of computational mathematics in the analysis and control of power grids, especially the study of vulnerabilities and of cascading blackouts.
Prior to joining Columbia University, Professor Bienstock was in the combinatorics and optimization research group at Bellcore. He has also participated in collaborative research with several industrial partners. He has published in journals such as Mathematical Programming, SIAM J. of Computing and SIAM J. on Optimization, Math. of OR and Operations Research; and in conferences such as IPCO, STOC, SODA, CDC and Allerton. He received the 2013 INFORMS Fellow award, a Presidential Young Investigator award, and an IBM Faculty award; he gave a plenary address at the 2005 SIAM Optimization Conference and a semi-plenary at the 2006 ISMP conference.
Costis Maglaras is dean and the David and Lyn Silfen Professor of Business at Columbia Business School. He received his BS in electrical engineering from Imperial College, London, and holds MS and PhD degrees in electrical engineering from Stanford University.
An expert in operations research, data analytics, and quantitative finance, Dean Maglaras has served as chair of the Decision, Risk, and Operations Division; as faculty director for the Risk Management course administered through Executive Education; and as a member of the Executive Committee of Columbia University's Data Science Institute. He has received both the Dean's Award for Teaching Excellence and the Dean's Award for Teaching Innovation. Prior to joining the School in 1998, Dean Maglaras was a research scientist at Canon Research Center America.
His research centers on stochastic modeling and data science, with an emphasis on stochastic networks, financial engineering, and quantitative pricing and revenue management. His research has been recognized through the 1999 INFORMS Nicholson Prize for best paper in Operations Research and Management Science and the 2008 INFORMS Revenue Management and Pricing Section Prize for best research paper.
Independent of the Business School, in 2007, Dean Maglaras helped found Mismi, a financial technology firm that introduced innovative quantitative electronic trading algorithms and transaction analytics tools to the marketplace. He served as Mismi’s head of research through 2014. He is a frequent consultant to industry, primarily in the areas of quantitative finance and electronic trading.
Dean Maglaras and his family live in New York.
Professor Clifford Stein joined Columbia University's Industrial Engineering and Operations Research Department in 2001, where he has been conducting research in the areas of combinatorial optimization, scheduling, and network algorithms. Prior to joining Columbia, he spent nine years as an assistant and associate professor in the Dartmouth College Department of Computer Science.
Professor Stein has published many influential papers in the leading conferences and journals in his field, and has occupied a variety of editorial positions. His work has been supported by the National Science Foundation and Sloan Foundation. He is the winner of several prestigious awards including an NSF Career Award, an Alfred Sloan Research Fellowship, and the Karen Wetterhahn Award for Distinguished Creative or Scholarly Achievement. He is also the coauthor of the textbook Introduction to Algorithms, with T. Cormen, C. Leiserson, and R. Rivest. This book is currently the best-selling textbook in algorithms and has been translated into eight languages.
He was chairman of the IEOR Department from July 2008 to July 2013.
Discrete Mathematics for Computer Scientists. Addison Wesley.
Introduction to Algorithms. MIT Press.
Ciamac C. Moallemi is an Associate Professor in the Decision, Risk, and Operations Division of the Graduate School of Business at Columbia University, where he has been since 2007. He received S.B. degrees in Electrical Engineering & Computer Science and in Mathematics from the Massachusetts Institute of Technology (1996). He studied at the University of Cambridge, where he earned a Certificate of Advanced Study in Mathematics, with distinction (1997). He received a Ph.D. in Electrical Engineering from Stanford University (2007). Prior to his doctoral studies, he developed quantitative methods in a number of entrepreneurial ventures: as a partner in a $200 million fixed-income arbitrage hedge fund, as the director of scientific computing at an early-stage drug discovery start-up , and as the founder of a computer security software start-up. Professor Moallemi is an associate editor of Operations Research. He is a member of the IEEE and of INFORMS. He is the recipient of a British Marshall Scholarship (1996) and a Benchmark Stanford Graduate Fellowship (2003). His research interests are in the area of the optimization and control of large-scale stochastic systems, with an emphasis on applications in financial engineering.
Professor Chan teaches the core MBA class, Operations Management. Her primary research interests are in data-driven modeling of complex stochastic systems, dynamic optimization, and queueing with applications in health-care operations management. Her current focus is on combining empirical approaches with mathematical modeling to develop evidence-based approaches to improving patient flow through hospitals, and particularly intensive care units.
Professor Schmitt researches, teaches, and advises corporations on creative strategy, branding, and customer experience management. Schmitt's books include Big Think Strategy, Customer Experience Management, and Experiential Marketing, which have been translated into more than 20 languages. He teaches the course Managing Brands, Identity and Experiences, and won an award for innovation in the classroom for the course Corporate Creativity. He has also taught several other courses including Market Innovation, Consumer Behavior, Advertising Management, Nonprofit Marketing, Luxury Goods Marketing as well as the Marketing core course. He has held visiting appointments in China, Germany, Poland, South Korea, and Singapore. Schmitt's research focuses on language in consumer behavior, experiential marketing, brand management and international business. His research has been published in leading marketing and psychology journals including Journal of Marketing, Journal of Marketing Research, Marketing Science, Journal of Consumer Research, Journal of Consumer Psychology, Journal of Personality and Social Psychology, and Journal of Experimental Psychology: Applied.
Awi Federgruen is the Charles E. Exley Professor of Management and Chair of the Decision, Risk, and Operations (DRO) Division of Columbia University's Graduate School of Business, where he served as Senior Vice Dean from 1997-2002. Professor Federgruen also served for many years as the Chair of the DRO Division, most recently from 2004-2010. Professor Federgruen joined the Columbia faculty in 1979 after receiving his doctorate in Operations Research at the University of Amsterdam in the Netherlands, and after being a Research Fellow at the Mathematical Centre in Amsterdam and a faculty member at the Graduate School of Management of the University of Rochester. He holds a courtesy appointment in Columbia's School of Engineering and Applied Sciences. Professor Federgruen is a world renowned expert in the development and implementation of planning models for supply chain management and logistical systems, in particular in the areas of production, inventory and distribution planning for supply chain management, and the design and analysis of operations strategies for service systems. Much of his recent work focuses on competition, coordination and contracting within supply and service chains. He is also a prime contributor to various areas of quantitative methodology, in particular the areas of applied probability and queuing models, as well as the area of dynamic programming. Professor Federgruen is the recipient of the 2004 Distinguished Fellowship Award by the Manufacturing, Service and Operations Management society for Outstanding Research and Scholarship in Operations Management, and was elected a presidential Fellow of the INFORMS society, its highest award. Professor Federgruen is currently the Editor-in-Chief of Naval Research Logistics, and a former Departmental Editor for the department of Manufacturing, Service and Operations of Management Science, Associate Editor of Operations Research, Senior Editor of Manufacturing, Service and Operations Management and Associate Editor of Naval Research Logistics, the flagship journals of his profession. Along with articles in the popular press (Wall Street Journal, Financial Times, etc.), he is the author of over hundred and forty publications in the premier journals of his field, and he has authored a book on Markovian Control problems and numerous book chapters for important survey text books. The recipient of a series of National Science Foundation and ARPA grants, his Ph.D. students are affiliated with some of the most influential university departments and industrial research laboratories (the Wharton School of the University of Pennsylvania, the Kellogg School of Northwestern University, the Harvard Business School, Cornell, the Fuqua School of Duke University, the Olin School of Washington University, the Simon School of the University of Rochester, the Business and Engineering Schools of Tel Aviv University, the Business School and Statistics Department of the Hebrew University, IBM, AT&T Bell Laboratories, Merck). In addition to many engagements in the financial services industry, Professor Federgruen frequently consults on various supply chain management problems and planning models for companies in a variety of industries, including the pharmaceutical, natural gas, consumer electronics, food, chemical, newspaper and airline industries, both in the United States and overseas. Much of his recent applied work deals with the development and implementation of marketing mix models and strategies, in particular in the pharmaceutical industry. He has also served as a principal consultant for the Israeli Air Force in the area of logistics and procurement policies.
Assaf Zeevi is the Kravis Professor of Business at the Graduate School of Business, Columbia University. His research focuses on the formulation and analysis of mathematical models of complex systems, with particular research and teaching interests that lie in the intersection of Operations Research, Statistics, Computer Science and Economics. Recent application areas have been motivated by problems in healthcare analytics, dynamic pricing, recommendation engines and personalization, and the valuation and monetization of digital goods. Assaf received his B.Sc. and M.Sc. (Cum Laude) from the Technion, in Israel, and subsequently his Ph.D. from Stanford University. He is the recipient of several research awards including a CAREER Award from the National Science Foundation, an IBM Faculty Award, Google Research Award, as well as several best paper recognitions. Assaf is a member of several editorial boards in his professional community, as well as several advisory boards for companies in the high technology sector.
Professor Ansari's research address customer relationship management, customization of marketing activities and product recommendations over the Internet, Social networks modeling and Bayesian modeling of consumer actions. Prior to joining Columbia in 1996, Ansari was with the university of British Columbia, Canada. Ansari has several publications in leading journals in marketing and allied fields. His research has appeared in the Journal of Marketing Research, Marketing Science, Management Science, Quantitative Marketing and Economics and Psychometrika. Ansari is the recipient of the Paul Green Award from the American Marketing Association (1994) for his work on ecustomization, His other work has been nominated for the O'Dell Award (2005 and 2007), Paul Green Award (2003 and 2008) and the Long Term Impact Award from the INFORMS society for Marketing Science (2009). Ansari serves as an Associate Editor for Management Science and Quantitative Marketing and Economics, and is on the editorial board of Marketing Science. Professor Ansari teaches the core marketing course and PhD courses on empirical modeling and Bayesian methods in marketing. He is the recipient of the Dean's Award for Teaching Excellence (2009).
Ton Dieker earned a master's degree in Operations Research from the Vrije Universiteit Amsterdam in 2002 and a PhD degree in Mathematics from the University of Amsterdam in 2006. His research interests include stochastic models and computer simulation techniques.
Honors include the Goldstine Fellowship from IBM Research, a CAREER Award from the National Science Foundation, the Erlang Prize from the Applied Probability Society of INFORMS, and a Fouts Family Early Career Professorship at Georgia Tech. He serves on the editorial boards of Operations Research and Mathematics of Operations Research.
Andrey Simonov is an Assistant Professor of Marketing at Columbia Business School. His research aims to combine standard economic and statistical tools with the vast newly available micro-level data on consumer behavior to study important problems in marketing and economics. His current research work focuses on the markets of informational products, such as advertisement and news. Prior to joining Columbia, Andrey got a Ph.D. from the University of Chicago Booth School of Business, M.Phil. in Marketing and M.Sc. in Econometrics and Mathematical Economics from Tilburg University (the Netherlands), and B.Sc. in Economics from Lomonosov Moscow State University (Russia).
Professor Martinez is a Senior Lecturer at Columbia Business School. He combines teaching and research with extensive global experience doing strategy consulting, with particular expertise in emerging markets. He gives the Catching Growth Waves in Emerging Markets course in both the MBA and EMBA programs and the Defining and Developing wining Strategic Capabilities course to the MBAs. He has also given the EMBA immersion course on Opportunities in India and led the Global Immersion Program to Brazil for several years. From 2008 to 2012 he directed a project at the Wharton School’s Lauder Institute on “Consumption Patterns in Emerging Markets: Catching Growth Waves and Anticipating Transitions”, including field research with a team of students across major countries. He has developed some unique insights into how business opportunities evolve in emerging markets and the capabilities required to capture them, which he leverages in his classes.
Professor Martinez is a former Senior Vice President at Booz, Allen & Hamilton, having joined in Brazil in 1982 and subsequently opened and/or managed the firm’s offices in every major Latin American country. He moved to the United States in the year 2000 with global responsibility for major client relationships. Mr. Martinez has worked with many of the world's largest multinationals and leading local groups in the consumer products, media, steel and construction materials industries. His focus has been growth related strategies in emerging markets, including international expansion, mergers and acquisitions and go to market strategies.
Professor Ali Hirsa joined IEOR in July 2017. He has been associated with Columbia University as an Adjunct Professor since 2000. He is also Managing Partner at Sauma Capital, LLC and Senior Advisor at DV Trading, LLC where he was Managing Director and Global Head of Quantitative Strategy from June 2016 to August 2017.
Previously he was a Partner and Head of Analytical Trading Strategy at Caspian Capital Management, LLC. Prior to joining Caspian, Ali worked in a variety of quantitative positions at Morgan Stanley, Banc of America Securities, and Prudential Securities. Ali was also a Fellow at Courant Institute of New York University in the Mathematics of Finance Program from 2004 to 2014.
He is on Board of Visitors of College of Computer, Mathematical, and Natural Sciences and A. James Clark School of Engineering at University of Maryland College Park and he served as a trustee on University of Maryland College Park Foundation from 2011 to 2016.
Ali published “An Introduction to Mathematics of Financial Derivatives”, third edition, Academic Press with co-author, Salih Neftci. He is also the author of “Computational Methods in Finance”, Chapman & Hall/CRC 2012 and is the editor of Journal of Investment Strategies. He has several publications and is a frequent speaker at academic and practitioner conferences.
Ali is co-inventor of “Methods for Post Trade Allocation” (US Patent 8,799,146). The method focuses on allocation of filled orders (post-trade) on any security to multiple managed accounts which has to be fair and unbiased. Current existing methods lead to biases and the invention provides a solution to this problem.
Ali received his PhD in Applied Mathematics from University of Maryland at College Park under the supervision of Professors Howard C. Elman and Dilip B. Madan.
Agostino Capponi joined Columbia University's IEOR Department in August 2014, where he is also a member of the Institute for Data Science and Engineering.
His main research interests are in the area of networks, with a special focus on systemic risk, contagion, and control. In the context of financial networks, the outcome of his research contributes to a better understanding of risk management practices, and to assess the impact of regulatory policies aimed at controlling financial markets. He has been awarded a grant from the Institute for New Economic Thinking for his research on dynamic contagion mechanisms.
His research has been published in top-tier journals of Operations Research, Mathematical Finance, and Financial Economics, including Operations Research, Mathematics of Operations Research, Management Science, Review of Asset Pricing Studies, and Mathematical Finance. His work has also been published in leading practitioner journals and invited book chapters. Agostino is a frequently invited speaker at major conferences in the area of systemic risk. He has on-going collaborations with several governmental institutions that are tasked with the analysis of financial networks data, in particular the US Commodity Futures Trading Commission and the Office of Financial Research. Agostino holds a world patent for a target tracking methodology in military networks.
Agostino received his Master and Ph.D. Degree in Computer Science and Applied and Computational Mathematics from the California Institute of Technology, respectively in 2006 and 2009.
Adam Elmachtoub is an Assistant Professor of Industrial Engineering and Operations Research at Columbia University, where he is also a member of the Data Science Institute. In 2014-2015, he spent one year at the IBM T.J. Watson Research Center working in the area of Smarter Commerce. His research currently focuses on designing new approaches for supply chain and revenue management, especially where the two areas collide. More broadly, he is interested in leveraging data to make informed decisions in industries such as retail, logistics, and travel. He previously received his B.S. degree from Cornell in 2009, and his Ph.D. from MIT in 2014.
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