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.
Assistant Professor, Department Of Mathematics and Statistics, Faculty of Science, McMaster University
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)