Research

Research & publications

Our work spans theory, methods, and applications: the mathematics of why learning algorithms work, the models and optimization that make them practical at scale, and the deployment of these ideas on real scientific and clinical problems. Much of our research crosses interdisciplinary boundaries and department lines, into statistics, engineering, and medicine.