Summary
Henri Palacci is a research engineer and ML leader specializing in large language models and their application to drug discovery, currently leading LLM-focused applied research at D. E. Shaw Research. He built and scaled ML and software teams from seed to post-Series A as head of ML & SWE at Anagenex and previously co-founded Poisson.AI, an ML consultancy delivering predictive models across chemistry and healthcare. With a PhD in Biophysics & Machine Learning from Columbia and advanced degrees in statistics and applied math from ENSAE and École Polytechnique, he blends deep academic rigor with product-focused engineering. His background also includes a decade leading quantitative trading teams and managing multi-billion dollar derivatives portfolios, bringing uncommon expertise in production-grade infrastructure, distributed training, and high-stakes decision systems. Notably, he helped train early protein LLMs and developed parallel training infrastructure and energy-based generative models for proteins, bridging foundational research and practical drug discovery use cases. Based in the New York metro area, he combines startup grit, research depth, and institutional-scale engineering experience.
11 years of coding experience
9 years of employment as a software developer
Master’s Degree, Statistics, Master’s Degree, Statistics at ENSAE Paris
Master of Science (M.S.), Applied Mathematics, Master of Science (M.S.), Applied Mathematics at École Polytechnique
Doctor of Philosophy - PhD, Biophysics & Machine Learning, Doctor of Philosophy - PhD, Biophysics & Machine Learning at Columbia University
English, French