Sam Toyer

Sam is currently a member of technical staff at OpenAI on the model safety team.

Sam was a PhD student in EECS at UC Berkeley, advised by Stuart Russell. As an undergraduate at the Australian National University, he worked on a range of topics, including human pose estimation from video, establishing best practices for serving large-scale satellite data on the web, and accelerating classical and probabilistic planning with deep learning. Currently, he is interested in how to make intelligent agents that can infer and act in accordance with the preferences of their owners. More details about his research are available on his website.