Renjie Liao is an Assistant Professor at the Department of Electrical and Computer Engineering and an Associated Member of the Department of Computer Science at the University of British Columbia (UBC). He is a faculty member at the Vector Institute and a Canada CIFAR AI Chair. Before joining UBC, he was a Visiting Faculty Researcher at Google Brain, working with Geoffrey Hinton and David Fleet. He received his Ph.D. in CS in 2021 from the University of Toronto under the supervision of Richard Zemel and Raquel Urtasun. During his Ph.D., he worked as a Senior Research Scientist at Uber Advanced Technologies Group. He received an M.Phil. degree in CS in 2015 from the Chinese University of Hong Kong and a B.Eng. degree in Automation in 2011 from Beihang University. He is broadly interested in machine learning and its intersection with computer vision, self-driving, healthcare, and other areas, with a focus on probabilistic and geometric deep learning.
Assistant Professor, Department of Electrical and Computer Engineering, University of British Columbia
Canada CIFAR Artificial Intelligence Chair
Research Interests
- Deep Generative Models
- Geometric Deep Learning
- Probabilistic Machine Learning
- Computer Vision
- Self-driving
- AI for Healthcare
Highlights
- Canada CIFAR AI Chair in 2023
- Top Reviewer, ICML (2020)
- Best Reviewer, NeurIPS (2019)
- Best Paper Award, ICML Workshop on Tractable Probabilistic Modeling (2019)
- RBC Graduate Fellowship, RBC (2019-2021)
- Connaught International Scholarship for Doctoral Students, University of Toronto (2015-2019)