Haoran Su is a Machine Learning Engineer and M.S. candidate in Financial Engineering at NYU with a B.S. in Physics and nine years of quantitative and software experience. He combines strong math and coding skills (C++, R, MATLAB, Python, Mathematica) with hands-on trading experience, having developed multi-factor and momentum strategies that showed double-digit backtested returns. His background spans model development, optimization and applied ML—using techniques like AdaBoost for trend prediction and linear-arbitrage modeling for index pairs. Comfortable bridging research and production, he has repeatedly turned statistical insight into profitable trading rules and financial software prototypes. Based in New York, he’s fast-learning, collaborative, and brings the precision of a physicist to practical quant engineering problems.
9 years of coding experience
High School, High School at High School Affiliated to Nanjing Normal University
Bachelor’s Degree, Physics, 3.8/4, Bachelor’s Degree, Physics, 3.8/4 at Nanjing University
Master's degree, financial engineering, Master's degree, financial engineering at New York University - Polytechnic School of Engineering
Contributions:8 commits, 7 pushes, 1 branch in 1 year
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