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.