Summary
Yuren Zhong is a quantitative researcher with eight years of experience building data-driven trading models and research infrastructure across hedge funds and prop trading firms. Currently at TSY Capital after roles at Millennium and an internship at Ubiquant, he blends academic rigor from Princeton and the University of Michigan with hands-on market experience. His background includes research internships at Microsoft and graduate research at Michigan, signaling strong foundations in machine learning and systems research. A Peking University summa cum laude alumnus who also studied at Edinburgh, he brings a global academic perspective to practical quantitative problems. Known for translating complex signals into production-ready strategies, he frequently bridges research prototyping and live execution. Based in Hong Kong, he pairs deep technical training with a practitioner’s focus on robust, scalable implementations.
8 years of coding experience
4 years of employment as a software developer
Master of Science in Engineering Electrical & Computer Engineering, Master of Science in Engineering Electrical & Computer Engineering at Princeton University
Visiting Program, Visiting Program at The University of Edinburgh
Master of Science Computer Science & Engineering, Master of Science Computer Science & Engineering at University of Michigan
Bachelor of Science Summa Cum Laude Computer Science & Technology, Bachelor of Science Summa Cum Laude Computer Science & Technology at Peking University
High School Diploma, High School Diploma at Hangzhou Foreign Languages School