Dr. Hauskrecht regularly teaches graduate level artificial intelligence and machine learning courses at the University, as well as advanced Machine Learning and AI seminars. His primary research interests are in probabilistic modeling and the design of efficient optimization, inference and learning algorithms for such models. Hauskrecht applies the models and techniques to analysis of high-throughput proteomic and genomic datasets, data mining and discovery in clinical databases, and decision-making in patient management tasks.