Aditya Kusupati
Senior Research Scientist at Google DeepMind
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolAditya Kusupati is a Senior Research Scientist at Google DeepMind with eight years of experience bridging probabilistic machine learning research and reliable software engineering. He holds a PhD in Computer Science from the University of Washington and has a track record of research roles at DeepMind, Berkeley AI Research, NVIDIA Research, and Microsoft Research. His work spans probabilistic ML and statistical modeling, and he contributes to critical open-source projects like SymPy by improving test coverage for complex symbolic mathematics—evidence of his attention to numerical correctness in production-grade tooling. Based in San Francisco, he combines rigorous academic training with hands-on engineering to push research into robust, testable implementations.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at University of WashingtonIndian Institute of Technology Bombay
Github Skills (7)
mathematics10
computer-algebra10
math10
python10
sympy10
computer-algebra-system10
testing10
Programming languages (6)
Github contributions (5)
sympy/sympy
Jun 2021 - Jul 2021
A computer algebra system written in pure Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:9 reviews, 6 commits, 1 PR in 19 days
Contributions summary:Aditya's commits primarily focus on adding and refining tests within the `sympy/sympy` repository, which is a computer algebra system. They improved testing for symbolic multivariate normal densities, and the associated test cases involved complex mathematical operations. The work included adding tests for density calculations, formatting existing tests, and updating documentation for clarity. This shows a focus on ensuring the accuracy and functionality of the mathematical computations within the system.
mathpythonsciencecomputer-algebra-systemalgebra
InfProbSciX/infprobscix.github.io
May 2018 - Dec 2022
Musings on statistics, logic & machine learning.
Contributions:248 commits, 1 PR, 241 pushes in 4 years 8 months
statisticsdata-sciencemachine-learningmusingslogic
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