Thomas Steinke
Member Of Technical Staff at Anthropic
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolThomas Steinke is a research scientist with six years of experience building cutting-edge machine learning and AI research at Google, Google DeepMind, and IBM, anchored by a PhD in Computer Science from Harvard. He focuses on transitioning deep research into scalable systems, contributing to high-impact projects within two of the industry's leading AI labs. Based in Mountain View, he blends rigorous academic training with practical industry delivery, moving between foundational research and production-aware methodologies. His trajectory from postdoctoral work to research staff and now DeepMind scientist signals both technical depth and adaptability in fast-evolving AI domains. Colleagues describe him as the kind of researcher who bridges theory and engineering, making complex models usable in real-world settings.
6 years of coding experience
8 years of employment as a software developer
BSc(Hons), BSc(Hons) at University of CanterburyPhD, Computer Science, PhD, Computer Science at Harvard UniversityExchange student, Computer Science, Exchange student, Computer Science at Stanford University
Github Skills (14)
backend10
training-data9
privacy8
github-pages8
machine-learning7
indieweb6
machine-learning-models5
diaspora4
federated2
activitypub2
mastodon2
pixelfed2
decentralization2
federation1
Programming languages (3)
Github contributions (5)
differentialprivacy/differentialprivacy
Jul 2020 - Dec 2022
Github pages backend for https://differentialprivacy.org
Contributions:106 commits, 51 PRs, 234 pushes in 2 years 5 months
backend
IBM/discrete-gaussian-differential-privacy
Jun 2020 - Mar 2021
Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
Contributions:1 push, 2 comments in 9 months
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