Summary
Neil Thomas is a Staff Research Scientist based in San Francisco who builds AI tools at the intersection of machine learning and biology, with 11 years of experience spanning industry moonshots and academic research. He holds a PhD in Computer Science from UC Berkeley and has contributed ML methods for protein representation that were spotlighted at NeurIPS, plus production-scale genomics pipelines and cloud deployments earlier in his career. His roles at X, Google, and Biohub reflect a blend of high-throughput experimental thinking and scalable software engineering for protein design, functional annotation, and programmable organisms. Known to balance rigorous research with pragmatic engineering, he moves ideas from papers to benchmarks and pipelines, and his GitHub persona as a “cathemeral dreamer” hints at a creative, around-the-clock problem solver.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, Berkeley
Higher School of Economics
Santa Monica High School
English, Russian