I am an assistant professor in mathematics at University of Pittsburgh. My research develops mathematical foundations for modern machine learning. I study structural principles in high dimensional learning systems, including implicit regularization, optimization dynamics, compression, and reliability of generative models. I connect rigorous mathematical analysis with foundational questions in artificial intelligence.