Steven Yadlowsky
Research Scientist at OpenAI
Sunnyvale, California, United States
Summary
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Rockstar🎓
Top SchoolSteven Yadlowsky is a research scientist with 13 years of experience bridging academia and industry in ML and optimization, currently at OpenAI after four years at Google DeepMind. He holds a PhD from Stanford and a BS in EECS from UC Berkeley, and his background spans applied convex optimization, large-scale text analysis, and ML for traffic estimation. Steven has moved fluidly between research and product contexts—from founding a health-focused startup to internships on Google[x]’s self-driving team and work on Google Fiber—bringing both entrepreneurial drive and systems-level engineering. At DeepMind and OpenAI he focuses on advancing core research into deployable capabilities, combining theoretical rigor with practical implementation. Based in Sunnyvale, he pairs deep academic training with hands-on experience shipping ML systems at scale, often tackling low-complexity, high-impact solutions.
14 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering and Computer Science, Bachelor of Science (BS), Electrical Engineering and Computer Science at University of California, BerkeleyNorthwood HighDoctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering, Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
cox-regression10
survival-analysis10
statistics10
training-data10
econometrics10
causal-inference10
data-augmentation10
random-forest10
data-science9
snorkel9
python9
machine-learning9
weak-supervision9
ai8
labeling8
Programming languages (8)
Github contributions (5)
syadlowsky/syadlowsky.github.io
Feb 2021 - Nov 2024
Contributions:20 pushes in 3 years 9 months
megacell/probabilistic-route-flow
Feb 2015 - Apr 2015
Contributions:25 commits, 22 pushes, 1 branch in 1 month
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