Mengye Ren

Mengye Ren

PhD Student
Department of Computer Science
University of Toronto


LinkedIn  GitHub  Google Scholar  CV 


Mengye Ren is a PhD student in the machine learning group of the Department of Computer Science at the University of Toronto, working with Prof. Richard Zemel. From 2017 to 2021, he was also a research scientist at Uber Advanced Technologies Group (ATG), working with Prof. Raquel Urtasun. He did undergraduate studies at the department of Engineering Science of the University of Toronto. 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, meta-learning, representation 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? Towards this goal of building a more general and flexible AI, my research has centered on developing meta-learning and representation learning algorithms.

Some recent research highlights include:


Selected Papers

[Full List][Google Scholar] [dblp]


Selected Talks