Garyk Brixi

email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
Garyk Brixi is a Stanford PhD candidate with seven years of experience at the intersection of machine learning and genomics. Self-described as a "DNA Bertologist," he focuses on adapting transformer architectures to biological sequence analysis, bringing NLP techniques to DNA interpretation. He combines rigorous research training with practical engineering instincts to move models toward reproducible, scalable tooling. Comfortable bridging academic inquiry and applied development, he aims to translate complex sequence models into usable insights for biology and biotech.
code7 years of coding experience
github-logo-circle

Github Skills (25)

tree-search10
evolutionary9
proteins9
reduction7
extraction7
reinforcement-learning7
modeling7
python7
deep-reinforcement-learning7
cpp7
scale6
deep-learning6
machine-learning6
artificial-intelligence6
feature-extraction6

Programming languages (5)

TypeScriptC++HTMLJupyter NotebookPython

Github contributions (5)

github-logo-circle
gkarthik/floki-dashboard

Feb 2019 - Jan 2020

Contributions:59 commits, 52 pushes, 3 branches in 11 months
garykbrixi/esm_gap_distance

May 2023 - Oct 2024

Evolutionary Scale Modeling (esm) with distance embedding gap for multichain
Contributions:1 release, 9 pushes, 1 tag in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial