Henry Lam is an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia University. He received his Ph.D. degree in statistics from Harvard University, and was on the faculty of Boston University and the University of Michigan before joining Columbia. Henry's research interests include Monte Carlo computation, uncertainty quantification, data-driven optimization and rare-event analysis. His work has been recognized by several venues such as the NSF CAREER Award, JP Morgan Chase Faculty Research Award, and Adobe Faculty Research Award. He serves on the editorial boards of Operations Research, INFORMS Journal on Computing, Stochastic Models, Journal of Applied Probability / Advances in Applied Probability, Manufacturing and Service Operations Management, and Queueing Systems, and as an area editor for Stochastic Models and Data Science in Operations Research Letters.
