Emma Brunskill

Assistant Professor,
Stanford University

Emma Brunskill is an assistant professor in the Computer Science Department at Stanford University where she leads the AI for Human Impact (@ai4hi) group. Her work focuses on reinforcement learning in high stakes scenarios-- how can an agent learn from experience to make good decisions when experience is costly or risky, such as in educational software, healthcare decision making, robotics or people-facing applications. She was previously on faculty at Carnegie Mellon University. She is the recipient of a multiple early faculty career awards (National Science Foundation, Office of Naval Research, Microsoft Research) and her group has received several best research paper nominations (CHI, EDMx2) and awards (UAI, RLDM).

Program Visits

Data-Driven Decision Processes, Fall 2022, Visiting Scientist
Causality, Spring 2022, Visiting Scientist
Theory of Reinforcement Learning, Fall 2020, Visiting Scientist and Program Organizer