Amy is a research scientist at Meta AI Research and postdoc at UC Berkeley, and am starting as an assistant professor at UT Austin in Spring 2023. Her work focuses on improving generalization in reinforcement learning through bridging theory and practice. She was on the board of Women in Machine Learning for two years. Her PhD was at McGill University and the Mila Institute and she also previously obtained an M.Eng. in EECS and dual B.Sci. degrees in Mathematics and EECS from MIT.