Summary
Matt McManus is a quantitative researcher and AI specialist based in New York with nine years of experience bridging machine learning, scientific computing, and quantitative finance. An MIT BS/MS alumnus, he has driven research-grade ML systems at Bridgewater’s AIA Labs and applied SciML to inertial navigation at CSAIL, achieving a measured ~63% reduction in 3D RMSE versus traditional filters. His background spans fast-paced trading environments at Two Sigma, DRW, and Delphi Digital, plus hands-on engineering that turns research into production-ready tools. Comfortable in Julia and Python and experienced with LLMs and neural‑augmented control systems, he combines deep academic rigor with practical trading intuition—often bringing aerospace-grade techniques to market-facing finance problems.
8 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Massachusetts Institute of Technology