Dr. Natasha Jaques

Biography

Natasha Jaques is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington and a Senior Research Scientist at Google DeepMind. Her research primarily focuses on Social Reinforcement Learning, where she develops algorithms that integrate insights from social learning and multi-agent training to enhance AI agents' learning, generalization, coordination, and interaction with humans. Natasha completed her PhD at the Massachusetts Institute of Technology (MIT) in 2019, where she developed techniques for fine-tuning language models using Reinforcement Learning from Human Feedback. She has interned at DeepMind and Google Brain and has served as a mentor for OpenAI Scholars. Natasha's notable work includes methods for improving coordination in multi-agent systems and generating adversarial environments to bolster the robustness of RL agents. Her research has garnered recognition, including an Honourable Mention Paper award at the International Conference on Machine Learning (ICML) in 2019 and an Outstanding PhD Dissertation Award from the Association for the Advancement of Affective Computing. She has also contributed significantly to the academic community through various publications and as a panelist at workshops focused on AI and machine learning.

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