Natasha Jaques

Natasha Jaques is an Assistant Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where she began her position in January 2023. Her research primarily focuses on social reinforcement learning, multi-agent systems, and human-AI interaction, with the goal of improving how AI agents learn and collaborate through social learning techniques.12

Education and Career

• Ph.D. in Media Arts and Sciences from the Massachusetts Institute of Technology (MIT) in 2019.
• M.Sc. in Computer Science from the University of British Columbia in 2014.
• B.Sc. in Computer Science and B.A. in Psychology from the University of Regina, both completed in 2012.

Before joining the University of Washington, Jaques was a Senior Research Scientist at Google Brain, where she explored the benefits of social learning in AI agents. She has also interned at DeepMind and Google Brain, and has experience mentoring as an OpenAI Scholars mentor.123

Research Contributions

Jaques's work has received recognition, including awards for Best Demo at NeurIPS and Best Paper at workshops focusing on machine learning applications in healthcare. Her research has been featured in prominent publications such as Science Magazine and MIT Technology Review. She is particularly interested in developing algorithms that enhance AI learning and generalization, focusing on how AI can learn from human interactions and from each other.123

Publications and Impact

Jaques has a significant number of citations for her work, indicating a strong influence in her field, particularly in areas related to reinforcement learning and AI collaboration. She actively publishes her research findings and contributes to the academic community through her work and mentorship.45

For more detailed information about her research and publications, you can visit her professional website at natashajaques.ai or her LinkedIn profile here .23