Summary
Xingguo Li is a quantitative researcher with 13 years of experience applying statistical learning, optimization, and algorithm design to trading and financial markets, currently at Radix Trading in Chicago. He brings a strong academic foundation—PhD in optimization, machine learning, and signal processing and an MS in applied mathematics from the University of Minnesota—combined with postdoctoral and research roles at Princeton, Georgia Tech, Johns Hopkins, and Carnegie Mellon. His work spans from theoretical model development to production trading research, reflecting deep expertise in algorithmic decision-making under uncertainty. Known for bridging rigorous research with practical market applications, he leverages signal-processing and deep-learning tools to improve strategy robustness and execution. An indicator of his analytical rigor is consistently top academic performance dating back to his engineering degree in China.
13 years of coding experience
2 years of employment as a software developer
Master of Science (MS), Applied Mathematics, 4.0/4.0, Master of Science (MS), Applied Mathematics, 4.0/4.0 at University of Minnesota
Bachelor of Engineering (BEng), Telecommunications Engineering, 91/100 (Major), Bachelor of Engineering (BEng), Telecommunications Engineering, 91/100 (Major) at Beijing University of Post and Telecommunications
Chinese, English, Korean