Heta Gandhi
Scientist II - Machine Learning at Nurix Therapeutics
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolHeta Gandhi is a machine learning scientist with a PhD in Chemical Engineering and nine years of experience applying computational methods to chemistry and drug discovery. Based in the San Francisco Bay Area, she develops predictive models for ADME and degrader molecules and leads ML-driven screens for DNA-encoded library targets at Nurix Therapeutics. Her work bridges deep learning, coarse-grained molecular dynamics, and GPU-accelerated simulation tooling (HOOMD-TF), reflecting a strong blend of research software development and applied ML. A MolSSI Software Investment Fellow, she has extended ML to improve simulation accuracy and has built AR/VR educational tools—an uncommon mix of cutting-edge research and science communication. Outside the lab she pursues endurance running and community-focused health initiatives, underscoring a practical, human-centered approach to technology and impact.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at University of RochesterBachelor’s Degree Chemical Engineering, Bachelor’s Degree Chemical Engineering at Dwarkadas J. Sanghvi College of Engineering
Sanskrit, Marathi, Gujarati, Spanish, Hindi, English
Github Skills (53)
molecule10
drug-discovery10
predict10
materials-informatics10
chemistry10
proteins10
biology9
quantum-chemistry9
rdkit9
deep-learning9
transfer-learning8
symbolic-regression8
open-access8
machine-learning8
journal8
Programming languages (7)
Github contributions (5)
hgandhi2411/Molecool
Feb 2020 - Jul 2022
Contributions:1 release, 3 PRs, 3 pushes in 2 years 5 months
ur-whitelab/alcfd
Mar 2021 - Apr 2022
Active learning symbolic regression CFD + AI = Wow
Contributions:28 commits, 4 pushes in 1 year 1 month
aisymbolic-regression
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