Archit Verma
Senior Scientist, AI Research, Foundational ML
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolArchit Verma is a Senior Scientist in AI Research at Genentech with nine years of experience applying statistical machine learning and deep learning to biological problems, particularly single-cell and protein engineering data. He holds a PhD in Chemical and Biological Engineering from Princeton and has built scalable models in TensorFlow and PyTorch for single-cell RNA-seq, live fluorescence imaging, and deep mutational scanning. His career spans academia and industry—postdoctoral research at Gladstone, applied AI roles at OpenProtein.AI and IBM—where he has led cross-functional teams and mentored trainees while translating models into experimental workflows. Notably, he combines hands-on model development with practical deployment on AWS and experience in time-series forecasting for defense health logistics, reflecting an uncommon blend of bioscience, production ML, and operational problem-solving.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Biomedical/Medical Engineering, 3.9, Bachelor of Science (BS), Biomedical/Medical Engineering, 3.9 at Duke UniversityDoctor of Philosophy (PhD), Chemical and Biological Engineering, Doctor of Philosophy (PhD), Chemical and Biological Engineering at Princeton University
English, Hindi, Spanish, Italian
Github Skills (4)
climate-change5
carbon-emissions5
sustainability4
data-visualization2
Programming languages (1)
Github contributions (5)
architverma1/tGPLVM
Jul 2018 - Jun 2019
Contributions:42 commits, 1 push in 10 months
architverma1/sc-manifold-alignment
Nov 2019 - Jan 2020
Contributions:16 commits in 1 month
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