Atharva Sehgal
Postdoctoral Researcher at Caltech
Pasadena, California, United States
Summary
👤
Senior🎓
Top SchoolAtharva Sehgal is a PhD student in Computer Science at UT Austin and an incoming postdoctoral researcher at Caltech, specializing in code generation algorithms that accelerate automated and collaborative scientific discovery. With nine years of experience spanning research assistantships and teaching roles at UIUC and UT Austin, he blends deep theoretical work with practical code-driven experimentation. He has worked closely with Swarat Chaudhuri and will collaborate with Yisong Yue, signaling a focus on probabilistic and program synthesis approaches to scientific inference. Beyond publishing and mentoring, Atharva’s trajectory reflects an uncommon commitment to translating automated code synthesis into tools that help scientists discover new facts, not just proofs.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at AustinBachelor of Science, Computer Science, Bachelor of Science, Computer Science at University of Illinois Urbana-Champaign
Github Skills (36)
genetic-algorithm10
evolutionary-algorithms10
symbolic-regression10
computer-vision10
julia10
data-science9
symbolic-computation9
machine-learning9
distributed-systems9
discrimination9
neuro-symbolic9
automl9
python6
ai5
deep-learning5
Programming languages (5)
Github contributions (5)
trishullab/LibraryAugmentedSymbolicRegression.jl
Sep 2024 - Oct 2025
Library augmented Symbolic Regression in Julia
Contributions:2 releases, 60 PRs, 118 pushes in 1 year 1 month
juliasymbolic-regression
atharvas/atharvas.github.io
Jul 2019 - Jul 2026
Contributions:74 pushes, 2 branches in 7 years 1 month
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