Chawin Sitawarin
Research Scientist at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolChawin Sitawarin is a research scientist at Google DeepMind specializing in security and privacy for machine learning, with a decade of experience focused on adversarial robustness and privacy-preserving ML. He earned his PhD in Computer Science from UC Berkeley under Prof. David Wagner and has held research positions at Meta, Google, IBM, Nokia Bell Labs, and Princeton, blending deep academic rigor with industrial impact. His recent work centers on vulnerabilities and defenses for large language models, building on a strong track record in adversarial examples and causal approaches to robustness. Comfortable moving between theory and systems, he has a history of shipping research through internships and postdoctoral work that influence production-facing teams. Based in the Bay Area, he brings a rare combination of hands-on implementation experience (from C/C++/MATLAB hardware synthesis to modern ML stacks) and cutting-edge security research.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, BerkeleyBachelor’s Degree Electrical Engineering, Bachelor’s Degree Electrical Engineering at Princeton University
English, Thai
Github Skills (59)
benchmark10
adversarial-attacks10
responsive10
adversarial-machine-learning10
github-pages10
jekyll10
jekyll-theme10
nlp10
pytorch9
python9
machine-learning9
benchmarking9
natural-language-processing9
bert9
segmentation9
Programming languages (4)
Github contributions (5)
chawins/adv-patch-bench
Sep 2021 - Oct 2022
Contributions:1 review, 2 PRs, 390 pushes in 1 year 2 months
google-research/preprocessor-aware-black-box-attack
Oct 2022 - Jan 2023
Contributions:63 commits, 2 PRs, 51 pushes in 3 months
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