Summary
Chaoxu Tong is a quantitative researcher with 14 years of experience building scalable, production-grade systems for high-frequency trading and marketplace matching. Currently at Citadel Securities, he applies a Ph.D. in Operations Research from Cornell to design algorithmic, data-driven solutions that prioritize reliability and debuggability. Previously he led matching and predictive-signal efforts at Uber and improved GPS-based matching precision as a data scientist, blending ML, optimization, and systems engineering. His background includes applied research in vehicle routing and ad pricing from internships at eBay and Facebook, showing an aptitude for turning academic methods into cost-sensitive, real-world simulators. An algo-competition enthusiast and Japanese culture aficionado, he brings both competitive problem-solving and a creative mindset to complex engineering challenges. Based in Miami, he excels at bridging quantitative research and software engineering to deliver practical, high-performance solutions.
14 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at University of Science and Technology of China
Doctor of Philosophy (Ph.D.), Operation Researches and Information Enginnering, Doctor of Philosophy (Ph.D.), Operation Researches and Information Enginnering at Cornell University
English, Chinese, Japanese