Haofeng Zhang

I am a Ph.D. candidate at the Department of Industrial Engineering and Operations Research at Columbia University, advised by Professors Henry Lam and Adam Elmachtoub. My Google Scholar is here. My CV is here.

My primary research interests are in data-driven decision-making and prediction at the intersection of operations research, data science, and machine learning. I am particularly interested in the following fields:

• Data-driven decision-making under uncertainty, including data-driven contextual optimization, optimization under uncertainty and constraints, and sequential decision-making under uncertainty (e.g., bandits and causality).
• Simulation and uncertainty quantification, including Monte Carlo methods, generative models, Bayesian uncertainty quantification, model evaluation and calibration, distributional robustness and shift.
• Machine learning methodologies, with applications particularly in smart decision-making, recommendation systems, generative artificial intelligence, and computer vision.

I am actively seeking review opportunities. Please feel free to send me an email!