Varchas Gopalaswamy
Assistant Professor at University of Rochester
City of Rochester, New York, United States
Summary
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Senior🎓
Top SchoolVarchas Gopalaswamy is an assistant professor and laser fusion scientist with 11 years of experience applying data science and machine learning to complex nonlinear physics problems. Based at the University of Rochester and the Laboratory for Laser Energetics, he focuses on deep tabular learning to extract actionable insight from experimental and simulation data in high-energy-density physics. His background blends a PhD in Mechanical Engineering with hands-on roles as a machine learning physicist and Horton Fellow, bridging rigorous theory with applied modeling for laser-driven fusion experiments. Known for combining domain expertise with advanced ML, he often tackles problems where sparse, heterogeneous tabular data limits conventional approaches. Colleagues value his ability to translate physics intuition into robust data-driven models that improve experimental design and interpretation.
11 years of coding experience
Doctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at University of RochesterBachelor of Arts (B.A.), Physics, 3.26, Bachelor of Arts (B.A.), Physics, 3.26 at Reed College
Tamil, English
Stackoverflow
1reputation
0reached
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Github Skills (79)
python10
computational-science10
cartopy10
parallel-computing10
geography10
spatial10
bitrix10
amr10
quantities10
scientific-computing10
sarif10
statistics10
idris10
cartography10
maps10
Programming languages (4)
Github contributions (5)
varchasgopalaswamy/AutoUncertainties
Sep 2021 - Nov 2022
Drop-in Uncertainty Propagation with Automatic Differentiation
Contributions:16 releases, 74 commits, 16 PRs in 1 year 2 months
varchasgopalaswamy/prepper
Jan 2023 - Jul 2024
A framework for storing and loading python objects from an HDF5 file while remaining language independent
Contributions:12 releases, 3 PRs, 68 pushes in 1 year 6 months
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