|
Chengpiao Huang
Research Interests
My research focuses on statistical machine learning and data-driven decision-making. Recently I have been working on using AI and generative models for decision-making problems.
News
Our paper “LLM-Powered Virtual Population for Demand Simulation and Pricing” is posted on SSRN and arXiv.
Our paper “The Nonstationarity-Complexity Tradeoff in Return Prediction” is posted on SSRN and arXiv.
I am honored to be selected as a 2025-2026 Deming Doctoral Fellow.
I am honored to receive the Best Student Presentation Award in the 38th New England Statistics Symposium.
I am honored to receive the Outstanding Teaching Assistant Award in Columbia IEOR.
|