Summary
Hsin Chen is an applied mathematics PhD and experienced software engineer with 11 years in quantitative and scientific computing, currently building production forecasting calculators as an Associate at JPMorgan Chase. He combines deep expertise in numerical methods, parallel programming, and object-oriented C++/STL design with 1.5 years of Python-driven production development and ETL engineering. Previously he led large-scale fluid dynamics simulations and parallel code during his doctoral research and implemented pricing engines and delta-hedging tools as a hedge trader. Comfortable across Linux and Windows and collaborative tools like SVN, Jira, and Confluence, he optimizes performance through algorithmic design and practical parallelism. Notably, his background bridges high-performance scientific codebases used with national labs and hands-on financial product engineering, giving him a rare mix of research rigor and production discipline.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Applied Mathematics and Statistics, 3.64/4.0, Doctor of Philosophy (Ph.D.), Applied Mathematics and Statistics, 3.64/4.0 at Stony Brook University
Chinese, English