This is a navigation window which overlays the main content of the page. Pressing the "X" at the top right corner of the modal will close the modal and bring you back to where you were on the page.
See posts about
This is a call to action window which overlays the main content of the page. Pressing the "X" at the top right corner of the modal will close the modal and bring you back to where you were on the page.
Let's Collaborate
This is a search window which overlays the main content of the page. Pressing the "X" at the top right corner of the modal will close the modal and bring you back to where you were on the page.
Assistant Professor, Department Of Mathematics and Statistics, Faculty of Science, McMaster University
I investigate the analytic and statistical foundations of deep learning. By understanding their behaviour, I develop rigorous modifications that enable these models to efficiently capture structures arising in finance, stochastic processes, games, and PDEs.
Research Interests
Foundations of AI
Geometric Deep Learning
Approximation Theory
Operator Learning
AI in Finance
Highlights
Official JMLR Reviewer
4 JMLR publications
64 papers (as of 2025)
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.
