Mengye Ren

Mengye Ren

Assistant Professor
Department of Computer Science
Courant Institute of Mathematical Sciences
Center for Data Science (joint)
New York University

Tel: +1 (212) 998-3369
Office: 60 5th Ave, Rm 508, New York, NY, 10011

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Mengye Ren is an assistant professor of computer science and data science at New York University (NYU). Before joining NYU, he was a visiting faculty researcher at Google Brain Toronto working with Prof. Geoffrey Hinton. He received B.A.Sc. in Engineering Science (2015), and M.Sc. (2017) and Ph.D. (2022) in Computer Science from the University of Toronto, advised by Prof. Richard Zemel and Prof. Raquel Urtasun. From 2017 to 2021, he was also a senior research scientist at Uber Advanced Technologies Group (ATG) and Waabi, working on self-driving vehicles. His research focuses on making machine learning more natural and human-like, in order for AIs to continually learn, adapt, and reason in naturalistic environments.


Areas: machine learning, computer vision, representation learning, meta-learning, few-shot learning, brain & cognitively inspired learning, robot learning, self-driving vehicles

My key research question is: how do we enable human-like, agent-based machine intelligence to continually learn, adapt, and reason in naturalistic environments? I am interested in the emergence of intelligence by learning from a point-of-view experience. Current research topics in my group are:




Recent Papers

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