Quick Assessment
| Dimension | Assessment |
|---|---|
| Primary Role | Research Scientist, Google DeepMind (2020–present) |
| Education | PhD in Computer Science, UC Berkeley (2020), advised by Stuart Russell and Anca Dragan at the Center for Human-Compatible AI (CHAI) |
| Key Contributions | Founded and authored the Alignment Newsletter (2018–2022, 173+ issues), which became the field's most widely-read summary publication; influential reframer of "the alignment problem" through accessible exposition; co-author on goal-misgeneralization and process-supervision research |
| Communication Role | Among the field's most active synthesizers of alignment research; his "alignment 101" framings on the EA Forum and LessWrong are commonly referenced as introductory material |
| Research Themes | Value learning, reward modeling, scalable oversight, process supervision, goal misgeneralization |
Overview
Rohin Shah is an AI alignment researcher who works at Google DeepMind. He completed his PhD at UC Berkeley in 2020, advised by Stuart Russell and Anca Dragan, with research focused on value learning and the formalization of human preferences. He joined DeepMind in 2020 and works on alignment research within the technical AGI / safety cluster.
Outside his published research, Shah is widely known in the AI safety community for founding and writing the Alignment Newsletter, a weekly summary of AI alignment research that ran from April 2018 through 2022 (173+ issues). At its peak, the newsletter was the most widely-read AI safety publication of its kind and effectively defined what "alignment research" meant for a generation of practitioners entering the field.