Henry Lam

Henry Lam serves as an Associate Professor in the Department of Industrial Engineering and Operations Research (IEOR) at Columbia University's Columbia Engineering, having joined the department in 2017 after faculty appointments at Boston University and the University of Michigan.

His educational background includes:

• Ph.D. in Statistics, Harvard University, 2011

Professor Lam's research centers on computational operations research, specializing in Monte Carlo methods for uncertainty quantification, risk analysis frameworks, and stochastic/simulation-based optimization techniques. His work develops algorithmic solutions for complex decision-making under volatile conditions across engineering and business analytics domains.

His scientific achievements have earned recognition through:

• NSF Career Award (2017)
• INFORMS JFIG Competition Second Prize (2016)
• Adobe Faculty Research Award (2016)

He contributes to academic discourse as an editorial board member for Operations Research and INFORMS Journal on Computing. Research funding includes the NSF Career Award, though specific student advisement details remain unreported in available materials.