My main research focus is on using probabilistic models and machine learning to understand complex domains that involve large amounts of uncertainty. Within that topic, my work touches on many areas: representation, inference, learning, and decision making. We like to be driven by real-world problems, and therefore a lot of my group's work tackles various application domains. Most recently, we have focused on problems in computer vision and in computational biology and medicine.