Cheng Gao is a quantitative researcher currently working at DRW since February 2025 in the Systematic Crypto Pod. Prior to this position, Cheng served as a teaching assistant at Princeton University from September 2022 to December 2024, facilitating courses in Regression and Applied Time Series, Network Game Theory, Analysis of Big Data, and Probability and Stochastic Systems. Cheng gained experience as a quantitative research intern at DRW in the summer of 2024, focusing on machine learning for cryptocurrency. Previous roles include a global alpha researcher at Trexquant Investment LP in early 2022, where the focus was on equity long/short alpha mining, and a research assistant at the University of California, Berkeley in late 2019. Cheng holds a doctorate in Operations Research and Financial Engineering from Princeton University and a bachelor's degree in Mathematics from Fudan University. Additionally, Cheng participated in an exchange program at the University of California, Berkeley, studying Mathematics and Computer Science.
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