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I'm joining KEPL group at Cubist Systematic Strategies as a quantitative analyst in May 2025, and this academic homepage is no longer updated. I am currently a fourth-and-final year Ph.D. candidate in Operations Research at UC Berkeley's IEOR department and Berkeley AI Research Lab (BAIR). Previously, I received my B.S. degree in Statistics from School of Mathematical Sciences at Peking University. ContactUniversity of California, Berkeley |
Winter Simulation Conference, sessions on "Machine learning and AI in Analysis Methodology" and "Empirical Studies in Simuation Optimization", Orlando, US, December 2024
INFORMS Annual Meeting, session on "Exploration, Experimental Design, and Algorithmic Decision Making", Seattle, US, October 2024
Ninth Marketplace Innovation Workshop (MIW), Virtual, May 2024
Annual POMS Conference, session on "Experimentation", Minneapolis, US, April 2024
Winter Simulation Conference, San Antonio, US, December 2023
INFORMS Annual Meeting, sessions on "Experimental Design and A/B Tests in Marketplaces" and "Learning and optimization in nonstationary environments", Phoenix, US, October 2023
INFORMS Annual Meeting, session on "Data-driven Decision-making: Understanding and Improving Standard Policies", Indianapolis, US, October 2022
Amazon ATS Science Summit, Barcelona, Spain, September 2022
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), session on "Mining, Inference and Learning", Washington, D.C., US, August 2022
Reviewer for:
Operations Research
Naval Research Logistics
Probability in the Engineering and Informational Sciences
International Conference on Machine Learning (ICML)
International Conference on Learning Representations (ICLR)
Artificial Intelligence and Statistics (AISTATS)
SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Winter Simulation Conference (WSC)
My friend Ting Lin is a Ph.D. candidate in Mathematics at Peking University.
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