Neil Thomas
Staff Research Scientist at Biohub
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNeil 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, BerkeleyHigher School of EconomicsSanta Monica High School
English, Russian
Github Skills (44)
fitness10
benchmark10
protein-sequences10
semi-supervised-learning10
language-modeling10
protein-structure10
computational-biology10
amqp9
protein-design9
redis9
pytorch9
synthetic9
task-manager9
deep-learning9
task-queue8
Programming languages (8)
Github contributions (5)
thomas-a-neil/thomas-a-neil.github.io
Mar 2016 - Jun 2026
Website
Contributions:2 PRs, 41 pushes, 1 branch in 10 years 5 months
google-deepmind/nuclease_design
Mar 2024 - Mar 2026
ML-guided enzyme engineering
Contributions:1 review, 14 PRs, 24 pushes in 2 years
machine-learningengineeringprotein
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