Summary
Jeffrey Zhang is a quantitative researcher and software engineer with six years of experience building predictive models and trading research systems, currently working in research at Headlands Technologies. An MIT S.B. in Computer Science & Mathematics and M.Eng. in AI, he has combined academic rigor with hands-on roles at Vatic Labs, Citadel, and Cruise Automation to apply machine learning and statistical modeling to real-world problems. His background spans high-frequency trading research, customer churn and CLV modeling, and route-planning/math-driven product features, reflecting a blend of finance, AD/robotics, and applied data science. Fluent in Python, JavaScript, and web fundamentals, he pairs strong prototyping skills with production-minded engineering—an M.I.T. lab instructor and former maker of surgical device prototypes, he brings both teaching experience and hardware-aware problem solving to software research.
6 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.Eng.) Artificial Intelligence, Master of Engineering (M.Eng.) Artificial Intelligence at Massachusetts Institute of Technology
Walnut High School