Mike Dusenberry is an AI Resident at Google Brain. His research interests lie at the intersection of Bayesian machine learning, deep neural networks, and medicine. More specifically, Mike is interested in treating uncertainty as a first-class citizen in machine learning, and using it to allow both models and clinical providers to make better informed decisions in a medical context. Before joining Google, Mike obtained a B.S. in Computer Science, and studied in medical school as an M.D. candidate for two years prior to leaving to focus on machine learning. While in medical school, Mike had the opportunity to work on a machine learning research project for Emergency Medicine, forming a basis for his interests. He then spent a few years working in San Francisco, where he focused on deep learning and medicine.