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.