Prof. Lam received his Ph.D. Degree in statistics from Harvard University in 2011 and was on the faculty of Boston University and The University of Michigan before joining Columbia in 2017. He is a recipient of the NSF CAREER Award in 2017 and serves on the editorial boards of Operations Research and INFORMS Journal on Computing. His work focuses on the quantification and mitigation of statistical errors and risks in integrating these methodologies with data, and the design and analysis of efficient computation and solution machineries. Henry is also broadly interested in the intersecting domains of computational probability, stochastic and robust optimization, and machine learning.