Summary
John Mount is a Principal Consultant and algorithm specialist with 14+ years of experience applying state-of-the-art optimization, statistics, and machine learning to internet, finance, and biotech problems. He founded and leads Win-Vector LLC, where he blends rigorous theoretical computer science with hands-on implementation in languages from C++ and Java to R and Python. His background includes building high-performance search and trading systems, architecting auction engines, and inventing scalable chemical search tools—work that spans research, productization, and patentable innovation. Co-author of Practical Data Science with R, he combines academic depth (PhD from Carnegie Mellon) with a practical knack for turning complex probabilistic methods into fast, production-ready code. Not obvious from job titles: he’s repeatedly shipped systems that pushed performance records in their domains (e.g., billion-scale compound search and low-latency trading platforms).
14 years of coding experience
8 years of employment as a software developer
B.A. Mathematics, B.A. Mathematics at University of California, Berkeley
Phd Computer Science, Phd Computer Science at Carnegie Mellon University