Machine learning, data science, causal inference, computational social science.
David Jensen directs the Knowledge Discovery Laboratory. His research is on machine learning and causal modeling for large social, technological, and computational systems, with goals that include prediction, explanation, security, and policy. Applications include fraud detection, security, systems management, and computational social science. Additional interests include explainable machine learning, statistical relational learning, evaluation of ML systems, and data science for public policy.
D.Sc. Engineering and Policy, Washington University (1992); M.S. Engineering and Policy, Washington University (1988); B.S. Mechanical Engineering, University of Nebraska (1986). From 1991 until 1995, Jensen was an analyst with the Office of Technology Assessment, an analytical agency of the United States Congress. He founded the Knowledge Discovery Laboratory in 2000 and served as Director of the UMass Computational Social Science Institute from 2018 to 2022.
Professor Jensen directs the Knowledge Discovery Laboratory, which he founded in 2000, and he serves as Associate Director of the UMass Computational Social Science Institute. He regularly serves on program committees for several conferences, including the International Conference on Machine Learning, the Conference on Uncertainty in Artificial Intelligence, the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, and the IEEE International Conference on Data Mining. He served on the Board of Directors of the ACM Special Interest Group on Knowledge Discovery and Data Mining (2005-2013), the Defense Science Study Group (2006-2007), and DARPA's Information Science and Technology Group (2007-2012). In 2011, he received the Outstanding Teacher Award from the UMass College of Natural Sciences.