Director, Knowledge Discovery Laboratory
College of Information & Computer Sciences
University of Massachusetts Amherst
I am a faculty member in the College of Information and Computer Sciences at the University of Massachusetts Amherst. I direct the Knowledge Discovery Laboratory, which I founded in 2000. I also serve as the Associate Director of the Computational Social Science Institute, an interdisciplinary effort at UMass to study social phenomena using computational tools and concepts. From 1991 to 1995, I served as an analyst with the Office of Technology Assessment, an agency of the United States Congress. I received my doctoral degree from Washington University in St. Louis in 1992.
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 ACM SIGKDD Conference on Knowledge Discovery and Data Mining, the IEEE International Conference on Data Mining, the International Conference on Machine Learning, and the Conference on Uncertainty in Artificial Intelligence. 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.
Below are selected papers and talks about my current and
past research. For additional information on
publications, see my research
group’s web pages or relevant pages at Google
Statistical Relational Learning
Navigation and Routing in Networks
Privacy and Networks
Fraud Detection and Security
Social Media Analysis
Overfitting and Multiple Comparisons
Recent courses include: