Doing a PhD and Deciding thesis topic | Natasha Jacques, Research Scientist @Google
Episode description
Watch the full podcast here: https://youtu.be/8XpCnmvq49s
Natasha Jaques is currently a Research Scientist at @Google Brain and a post-doc fellow at @UC Berkeley, where her research interests are in designing multi-agent 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 the @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.
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About the Host:
Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah: https://www.linkedin.com/in/shahjay22/
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About the author: https://www.public.asu.edu/~jgshah1/