My research focuses on bridging the gap between theory and practice in machine learning by developing efficient algorithms to solve real-world problems and providing a deep understanding of the underlying theoretical principles.

I work on the theory and algorithms of deep learning, and related topics in *algorithms*,
*machine learning*, *optimization*, and
*statistical learning theory*.