Yinchen Wu

Yinchen Wu is a Quantitative Trading Analyst at DRW, starting in July 2023, and previously held the position of Quantitative Trading Analyst Intern focused on commodities. Wu has been a Research Assistant at the University of Chicago since December 2020, collaborating with Professor Lek-Heng Lim and Doctor Zehua Lai on Riemannian optimization related to completely positive matrices. Prior research roles include developing an anomaly detection benchmark under Professor Papparizos, resulting in two papers for VLDB 2022, and conducting data analysis and machine learning model evaluations at the University of Chicago Booth School of Business. Wu holds a Master’s degree in Computational and Applied Mathematics and a Bachelor's degree in Mathematics and Statistics from the University of Chicago, as well as a High School Diploma from Friends' Central School, graduating Cum Laude.