Andy Miller

PhD Candidate, Harvard University

Andy Miller is a PhD candidate in computer science at Harvard University, studying machine learning and statistics. He develops statistical models for complex, high-dimensional data with applications to astronomy, health monitoring, and sports analytics. His methodological research focuses on computationally flexible and scalable inference methods for probabilistic models, using variational inference and Monte Carlo methods. He is advised by Ryan Adams (now at Google Brain) and Luke Bornn (now at Simon Fraser).