Summary
Jerome Nilmeier is a Senior Software Engineer and data scientist with 11 years of industry experience, currently shaping BQuant’s client-facing analytics and scalable ML workflows at Bloomberg. He blends deep research roots in computational biophysics and bioinformatics—authoring Monte Carlo, graph-theoretic, and ML methods with 12+ peer-reviewed publications—with practical expertise in developer advocacy, educational content, and enterprise-scale data engineering. At IBM and Bloomberg he has focused on distributed computing, transformer/NLP models for financial modeling, and reproducible notebook-based workflows. Jerome also designs instructional courses and technical books, translating complex algorithms into usable frameworks for practitioners. Based in San Francisco, he pairs a PhD in Biophysics and a CQF certificate with a track record of moving research-grade methods into production for finance and scientific applications.
11 years of coding experience
11 years of employment as a software developer
Certificate in Quantitative Finance, Certificate in Quantitative Finance at CQF Institute
BS, Chemical Engineering, BS, Chemical Engineering at UC Berkeley
PhD, Biophysics, PhD, Biophysics at University of California, San Francisco