Summary
Hao Xu is a quantitative researcher and software engineer with a PhD in computational physics from William & Mary and nine years of experience applying algorithmic and ML techniques to scientific and financial problems. He has built high-performance Monte Carlo algorithms that reduced sampling error from 40% to 2% and accelerated runtime by over 1000x, and has production software experience at BeaconFire and Goldman Sachs before his current role at Aleto. Proficient in Python, C/C++, Fortran and shell scripting, he automates data pipelines and implements models end-to-end, with web-development familiarity (HTML/CSS/JS) and a public GitHub for reproducible work. A competitive programmer with strong contest results (Google Code Jam Round 3, Facebook Hacker Cup, and a top-15 LeetCode weekly finish), he combines rigour from research publications with practical engineering discipline. Based in Chicago, he’s actively seeking quant, software engineering, or data science roles and brings a rare blend of physics-driven modeling, software performance tuning, and endurance—he’s run 10+ full marathons.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Physics, 3.64, Bachelor's degree, Physics, 3.64 at University of Science and Technology of China
Doctor of Philosophy - PhD, Physics, 3.9, Doctor of Philosophy - PhD, Physics, 3.9 at William & Mary