My current research focuses on machine learning and data science for analyzing large social, technological, and computational systems. In particular, my work focuses on methods for constructing accurate causal models from observational and experimental data, with applications to social science, fraud detection, security, and systems management. My research is supported by many organizations, including the National Science Foundation, the Defense Advanced Research Projects Agency, and the Intelligence Advanced Research Projects Activity.
I regularly serve 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. I have also 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, I received the Outstanding Teacher Award from the UMass College of Natural Sciences. In 2017, one of my papers received the IEEE INFOCOM Test of Time Paper Award.