4 sources
A good person to follow if you care about what deployment-minded safety work looks like inside a frontier lab, especially around moderation, image systems, and system-card style evaluation.
Researcher Profile
FeaturedJohn Schulman
Reinforcement learning, post-training
Chief Scientist at Thinking Machines Lab
A key bridge between reinforcement-learning methodology and the post-training techniques now used to shape assistant behavior.
Organizations
Thinking Machines Lab
Labs
About This Page
This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.
Last reviewed
March 18, 2026
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Policy optimization and reinforcement learning
02
RLHF-era post-training
03
Practical algorithms for shaping model behavior
04
Reinforcement learning, post-training
05
Proximal Policy Optimization Algorithms
06
Training language models to follow instructions with human feedback
Start Here
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Supporting Sources
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