Haofeng Zhang

Since 2024, I have been a researcher within the Machine Learning Research team at Morgan Stanley.

For academic research, my primary research focuses on the following fields:

• Machine learning methodologies, with an emphasis on uncertainty and decision-making.
• Data-driven decision-making, including optimization under uncertainty and sequential decision-making.
• Simulation and uncertainty quantification, including model uncertainty, Monte Carlo methods, and generative models.

For applied research at Morgan Stanley, I focus on developing forecasting and decision-making models, particularly for time-series analysis.

My Google Scholar can be found here. Selected research can be found here.

I obtained my Ph.D. degree in 2024 from Department of Industrial Engineering and Operations Research at Columbia University, advised by Professors Henry Lam and Adam Elmachtoub.