Siddharth Narayanan
San Francisco, California, United States
Summary
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RockstarSiddharth Narayanan is a research scientist in San Francisco with 11 years of experience applying statistical and machine learning methods to molecular and cell biology. He combines deep quantitative training from domains as varied as particle physics, natural language, and audio processing with hands-on software architecture and engineering to support reproducible research workflows. Having worked at Flagship, Fidelity, MIT, and CERN and now technical staff at Future-House, he excels at translating complex experimental problems into practical, statistically grounded ML solutions. Known for bridging lab-scale biology and production-ready code, he focuses on enabling data-driven discovery across the natural sciences.
11 years of coding experience
Github Skills (114)
ai10
science10
nlp9
coreference9
python9
backbonejs9
deep-learning9
coreference-resolution9
pytorch9
gpt-29
machine-learning9
speech-recognition9
reinforcement-learning9
artificial-intelligence9
data-format9
Programming languages (7)
Github contributions (5)
DAZSLE/SubtLeNet
Mar 2017 - Jan 2019
SUBsTructure-LEarning NETworks
Contributions:90 commits in 1 year 9 months
dotnetdeep-learningsubstructureneural-networksc-sharp
sidnarayanan/TransferErrors
Aug 2016 - Sep 2018
Contributions:6 PRs, 26 pushes, 1 branch in 2 years 1 month
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