Henry Lam is an Associate Professor in the Department of Industrial Engineering and Operations Research (IEOR) in Columbia University. He received his Ph.D. in statistics from Harvard University in 2011, and was on the faculty of Boston University and the University of Michigan before joining IEOR in 2017. Henry’s research interests include Monte Carlo methods, risk analysis, and stochastic and simulation-based optimization. His work has been recognized by several venues such as the NSF Career Award (2017), the INFORMS JFIG Competition Second Prize (2016) and the Adobe Faculty Research Award (2016). He serves on the editorial boards of Operations Research and INFORMS Journal on Computing.