My research interests lie in numerical mathematics and computational methods for large-scale machine learning and scientific computing.
I am particularly interested in randomized algorithms and mixed-precision arithmetic, especially where they can improve performance, stability, and scalability of modern machine learning workflows.
More broadly, I am interested in the algorithms and numerical methods that make ML systems work efficiently at scale, rather than treating models as black boxes.