Dr. Mengye Ren

Biography

Mengye Ren is an Assistant Professor in the Department of Computer Science and Data Science at the Courant Institute of Mathematical Sciences at New York University. His research focuses on machine learning and its applications in artificial intelligence, emphasizing the development of systems that can learn and adapt in real-world environments. He obtained his Ph.D. in Computer Science from the University of Toronto, where he was advised by renowned Professors Richard Zemel and Raquel Urtasun. Prior to joining NYU, he was a visiting faculty researcher at Google Brain in Toronto and a senior research scientist at Uber Advanced Technologies Group, where he worked on self-driving vehicle technology. He leads the Agentic Learning AI Lab, which aims to advance the field of machine learning by exploring topics such as continual learning, representation learning, and few-shot learning. His lab is also actively engaged in exploring the intersection of visual learning, language, and planning. Ren teaches several courses at NYU, including Advanced Topics in Embodied Learning and Deep Learning, and is involved in multiple academic conferences as an area chair and program committee member.

Research Interests

Courses