Brian Hie is an Assistant Professor at Stanford University and a computational biologist/AI researcher with nine years of experience applying machine learning to biological design. Trained at Stanford (BS CS) and MIT (PhD), he bridges rigorous academic research and practical AI-for-biology engineering, focusing on evolutionary design approaches. His Github bio—AI for biology @evo-design—signals a niche expertise in leveraging generative and evolutionary methods for biomolecular problems. At Stanford he progressed from Science Fellow to faculty, combining experimental collaboration with algorithm development to translate models into real-world biological insights. Based in San Francisco, he pairs deep technical foundations with an appetite for interdisciplinary projects that push the boundaries of design-driven biology.
9 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Massachusetts Institute of Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Stanford University
Biological foundation modeling from molecular to genome scale
Contributions:5 releases, 9 reviews, 16 PRs in 1 year
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Brian Hie - Assistant Professor at Stanford University