Amy Zhang

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.



Girl Geek X MosaicML Lightning Talks

Over 120 girl geeks joined networking and lightning talks from women working in machine learning at @mosaicml6047, Meta AI, Atomwise, Salesforce Research, OpenAI, Amazon, and Hala Systems. Speakers discuss efficient machine learning training with MosaicML, reinforcement learning, ML-based drug discovery with AtomNet, evaluating recommendation robustness with RGRecSys, turning generative models into products at OpenAI, seeking the bigger picture at AWS, and building high performance diverse teams. This sold-out Girl Geek X Dinner was recorded on May 12, 2022 at MosaicML's Palo Alto office in Playground Global. MosaicML is hiring!