Rahul G. Krishnan is an Assistant Professor at the Department of Computer Science and Temerty Faculty of Medicine. Holding a PhD from MIT and with a background from New York University and University of Toronto, his work intersects machine learning and healthcare. He specializes in developing deep generative models, blending deep neural networks with Bayesian networks, to aid clinicians in complex health decisions using clinical data. His applications range from predicting false alarms in intensive care units to modeling biomarker progression in diseases like multiple myeloma, aiming to create safer and more accurate predictions by incorporating contextual information.