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Chengpiao Huang

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I am a third-year PhD student in the Department of Industrial Engineering and Operations Research at Columbia University, advised by Professor Kaizheng Wang.

Prior to joining Columbia, I received my Bachelor's degree in Mathematics and Applied Mathematics at The Chinese University of Hong Kong, Shenzhen.

E-mail: chengpiao.huang [AT] columbia [DOT] edu
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Research Interests

My research focuses on statistical machine learning and data-driven decision-making. Recently I have been working on learning under distribution shift.

News

  • 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.

  • Our paper “Uncertainty Quantification for LLM-Based Survey Simulations” is accepted at ICML 2025.

  • Our paper “A Stability Principle for Learning under Non-Stationarity” is accepted by Operations Research.

  • Our paper “Distribution-Free Predictive Inference under Unknown Temporal Drift” is posted on arXiv.

  • Our paper “Model Assessment and Selection under Temporal Distribution Shift” is accepted at ICML 2024.

  • We (Kaizheng Wang, Yuhang Wu and I) won second place in the 2023 INFORMS Blue Summit Supplies Data Challenge! We also ranked first in the two-week live test of pricing and profit forecasting.