I received my Ph.D. in Computer Science from Carnegie Mellon University, with Andrew Moore as my advisor. During my time at the AUTON lab at Carnegie Mellon, I learned the art of speeding up data mining algorithms. After finishing my Ph.D., I was a post-doc with Greg Cooper at the Department of Biomedical Informatics at the University of Pittsburgh. While working with Greg, I learned to appreciate Bayesian networks and Bayesian statistics.

General research interests: machine learning, data mining, anomaly detection

Research topics I've worked on:
Syndromic surveillance, Bayesian network structure learning, clustering, reinforcement learning
Research topics I'm currently working on:
Anomaly detection, time series classification, human-in-the-loop learning, species distribution modeling
More details on my research and my list of publications can be found here.


Ph.D. from Carnegie Mellon University, 2004
M.S. from Carnegie Mellon University, 2001
B.S. from University of British Columbia, 1997