معرفی
Sherry Yang is an Assistant Professor of Computer Science at NYU Courant Institute of Mathematical Sciences and a Staff Research Scientist at Google DeepMind. She leads the Computational Intelligence, Vision, and Robotics Lab (CILVR) at NYU, focusing on cutting-edge research at the intersection of machine learning, robotics, and AI for science.
Dr. Yang received her B.S. and M.Eng. from MIT, followed by a Ph.D. from UC Berkeley under the supervision of Pieter Abbeel. She then completed a postdoctoral fellowship at Stanford University working with Percy Liang.
Her research focuses on machine learning with particular emphasis on reinforcement learning and generative modeling. Recently, she has been exploring problems at the intersection of foundation models and decision making, including learning world models and agents, with applications in robotics and AI for science. Her work bridges theoretical advances with practical implementations in real-world scenarios.
Dr. Yang's publications demonstrate significant contributions across multiple AI domains, showing an evolution from foundational reinforcement learning techniques to their application in complex domains like materials science and robotics, with particular emphasis on video understanding, world models, and agent systems.
- Outstanding Paper Award at ICLR 2024 for UniSim: Learning Interactive Real-World Simulators
As an advisor, Dr. Yang mentors multiple PhD, Master's, and undergraduate students across various research projects. She has served on program committees for major conferences including NeurIPS, ICML, and ICLR, and has organized influential workshops on foundation models for decision making. Her research has attracted significant funding supporting innovation in machine learning engineering and scientific discovery.
Dr. Yang leads the Computational Intelligence, Vision, and Robotics Lab (CILVR) at NYU, which maintains strong collaborations with Google DeepMind and other leading AI research institutions, creating a vibrant research ecosystem that spans academia and industry.
