Research interests
My research focuses on developing fast computational methods for problems in machine learning, scientific computing, and quantum information science, with a focus on problems with linear algebraic structure. I am interested in both fundamental questions about the best-possible algorithms for computational problems and pragmatic questions about the design of methods that are effective in practice. Some ongoing areas of interest for me are connections between quantum eigensolvers and signal processing, kernel and Gaussian process machine learning, and making randomized algorithms that are as reliable as classical deterministic methods.
Host: Lin Lin
Ph.D. Institution: Caltech
