Natasha Jaques

Natasha Jaques

Senior Research Scientist

Google Brain

Social learning helps humans and animals rapidly adapt to new circumstances, and drives the emergence of complex learned behaviors. My research is focused on Social Reinforcement Learning—developing algorithms that combine insights from social learning and multi-agent training to improve AI agents’ learning, generalization, coordination, and human-AI interaction.

I am currently a Senior Research Scientist at Google Brain. From 2020-2022 I held this position jointly with a Visiting Postdoctoral Scholar position at UC Berkeley, in Sergey Levine’s group. Before that, I received my PhD from MIT, where I worked on Affective Computing and deep/reinforcement/machine learning in Rosalind Picard’s group. I have interned at DeepMind, Google Brain, and worked as an OpenAI Scholars mentor.

I will be joining the University of Washington School of Computer Science as an assistant professor starting in January 2024. If you are interested in joining my lab as a PhD student, please consider applying to UW! Be sure to mention my name in your application.

Download my CV.

  • Multi-Agent Learning and Coordination
  • Human-AI Interaction
  • Affective Computing
  • Reinforcement Learning
  • Machine Learning
  • PhD in the Media Lab, 2019

    Massachusetts Institute of Technology

  • MSc in Computer Science, 2014

    University of British Columbia

  • BSc in Computer Science, 2012

    University of Regina

  • BA in Psychology, 2012

    University of Regina

Selected Awards

Selected Press

  • Degrees Magazine. Cataldo, S. (2021, November 19). The sky’s the limit.
  • Science. Hutson, M. (2021, January 19). Who needs a teacher? Artificial intelligence designs lesson plans for itself.
  • IEEE Spectrum. Hutson, M. (2019, June 17). DeepMind Teaches AI Teamwork.
  • MIT Technology Review. Hao, K. (2019, June 20). Here are 10 ways AI could help fight climate change.
  • National Geographic. Snow, J. (2019, July 18). How artificial intelligence can tackle climate change.
  • Quartz. Gershgorn, D. (2018, February 16). Google is building AI to make humans smile.
  • Boston Magazine. Annear, S. (2015, January 5). Website tracks your happiness to remind you life’s not so bad.
  • CBC radio. Brace, S. (2015, January 5). Regina woman develops smile app at MIT.


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Tackling Climate Change with Machine Learning
This paper comprehensively surveys the ways in which machine learning could be usefully deployed in the fight against climate change. From smart grids to disaster management, we identify high impact problems and outline how machine learning can be employed to address them.

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