I am generally interested in exploiting functional and harmonic analysis, in combination with numerical analysis, in order to construct rigorous numerical approximations that can serve as the foundation for fast and efficient computational methods in physical sciences. Specific topics that I am interested in include quadrature rules, numerical linear algebra, structured matrix algorithms, and approximation theory for deep neural networks.

Papers

Talks and Presentations

Codes

All code can be found on my GitHub page.