Nikola Kovachki
Research Scientist at NVIDIA
Pasadena, California, United States
Summary
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Rockstar🎓
Top SchoolNikola Kovachki is a research scientist and applied mathematician based in Pasadena with six years of experience working at the intersection of machine learning and physical modeling. Currently at NVIDIA after research roles including a stint at Entos, he focuses on approximation theory, imaging, inverse problems, and uncertainty quantification, translating rigorous theory into practical ML solutions. A Caltech PhD in Applied Mathematics with a BS in Mathematics underpins his work, enabling him to bridge deep math and scalable engineering. He is drawn to problems where physical priors and data-driven models must be reconciled, and often explores uncertainty-aware approaches that improve robustness in real-world inverse problems.
6 years of coding experience
California Institute of Technology
Stackoverflow
101reputation
0reached
0answers
0questions
Github Skills (10)
uno10
transform10
partial-differential-equations10
fourier-transform10
pde10
tensorly10
pytorch10
differential-equations10
self-organizing-map10
neural-operator10
Programming languages (1)
Github contributions (3)
kovachki/kovachki.github.io
Oct 2021 - Nov 2023
Contributions:11 pushes in 2 years
neuraloperator/neuraloperator
Apr 2023 - Oct 2023
Learning in infinite dimension with neural operators.
Contributions:2 reviews, 7 PRs, 8 pushes in 5 months
equationstransformneural-networksfourierpartial-differential-equations
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