My primary research interests lie in decision theory and probabilistic modeling for artificial intelligence, machine learning and management science. My current interests include topics such as event models, graphical models, value of information, preference models and data-driven decision analysis. My applied work has spanned several domains, including sales, energy, business services, transportation, consumer products and public policy. I am interested in communicating the fundamental concepts of decision analysis to a broader audience, and in bringing decision analysis to the forefront of prescriptive analytics. Recently, I have also pursued research in the field of computational creativity.