Among his many accomplishments, Jimmy developed the Adam Optimizer, one of the go-to algorithms to train deep learning models. Jimmy completed his undergraduate degree, Master’s degree and PhD at the University of Toronto under the supervision of Geoffrey Hinton, Brendan Frey and Ruslan Salakhutdinov. Jimmy’s research focuses on the development of learning algorithms for deep neural networks. He was the second-ever student from a Canadian institution to win a Facebook PhD Fellowship and in 2015, his team achieved the highest place among academic labs in the image caption generation competition at CVPR.
Faculty Member, Vector Institute
Assistant Professor, Department of Computer Science, University of Toronto
Canada CIFAR Artificial Intelligence Chair
Highlights
- Alfred P. Sloan Research Fellow in Computer Science
- Member of the Machine Learning Group, University of Toronto
- Facebook PhD Fellowship
- Massey Junior Fellow
- Team placed highest place among academic labs in the image caption generation competition at CVPR 2015
Publications
Clockwork variational autoencoders
2021
Lime: Learning inductive bias for primitives of mathematical reasoning
2021
Efficient statistical tests: A neural tangent kernel approach
2021
On Monotonic Linear Interpolation of Neural Network Parameters
2021
How does a Neural Network’s Architecture Impact its Robustness to Noisy Labels?
2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
2021
BLAST: Latent Dynamics Models from Bootstrapping
2021
Understanding the Variance Collapse of SVGD in High Dimensions
2021