Doing a PhD and Deciding thesis topic | Natasha Jacques, Research Scientist

Watch the full podcast here:    • Deep Reinforcement Learning for Socia...  

Natasha Jaques is currently a Research Scientist at @Google Brain and 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 @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 check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.com

About the Host:
Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah:   / shahjay22  

You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!

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