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Henry Lam is an Associate Professor at the Data Science Institute and the Department of Industrial Engineering and Operations Research at Columbia University. He received his Ph.D. in Statistics from Harvard University in 2011. Prior to joining Columbia University, he served as faculty at Boston University and the University of Michigan. His research interests focus on Monte Carlo methods, risk analysis, and stochastic simulation-based optimization, contributing to the advancement of these fields through various recognized publications. His work has been acknowledged with several prestigious awards, including the NSF Career Award in 2017, the INFORMS JFIG Competition Prize in 2016, and the Adobe Faculty Research Award in 2016. In addition to his teaching and research, Henry serves on the editorial boards of Operations Research and the INFORMS Journal on Computing.
Columbia University • New York, NY
Associated with the Data Science Institute and the Department of Industrial Engineering and Operations Research.
Department of Anthropology (GSAS)