Doing a Ph D and Deciding thesis topic, Natasha Jacques, Research Scientist Google

Watch the full podcast here: Natasha Jaques is currently a Research Scientist at Google Brain and postdoc fellow at UC Berkeley, where her research interests are in designing multiagent RL algorithms while focusing on social reinforcement learning, that can improve generalization, coordination between agents, and collaboration between human and AI agents. She received her PhD from Massachusetts Institute of Technology (MIT) where she focused on Affective Computing and other techniques for deep, reinforcement learning. She has also received multiple awards for her research works submitted to venues like ICML and NeurIPS She has interned at DeepMind, Google Brain, and is an OpenAI Scholars mentor. Also checkout these talks on all available podcast platforms: About the Host: Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis. Jay Shah: http