Greetings!

I am an associate professor in the Department of Computer Science at Georgetown University. My research interests include machine learning, data mining, on-line learning algorithms, concept drift, and applications of machine learning and data mining to computer security. I led the effort that established Georgetown's first graduate program in computer science, and I am the director of the department's Master's program. In 2004, I shared with Zico Kolter the award for the best application paper at KDD for our work on detecting malicious executables. In 2007, I shared with Greg Stephens a Program Innovation Award from the MITRE Corporation for our work on detecting insider threats. I have served as a consultant to industry, government, and nonprofit organizations.

I teach the department's courses on machine learning (COSC-688) and artificial intelligence (COSC-387). I have also taught the department's introductory courses, Computer Science I (COSC-071/502), Computer Science II (COSC-072/503), and Data Structures (COSC-173/504).

Next semester (F '09), I'm teaching

Artificial Intelligence (COSC-387)
Unix for Non-believers (COSC-317) with Clay Shields

For fun, I play a little guitar and do a little sailing. I'm always in search of great sushi. So far, the best has been from Ebisu in San Francisco, CA.

News

December 15, 2008: Steve Bach (C '10) presents Paired learners for concept drift at ICDM in Pisa, Italy.

December 31, 2007: Journal of Machine Learning Research publishes Dynamic Weighted Majority: An ensemble method for drifting concepts (with Zico Kolter).

September 6, 2007: Paper (with Greg Stephens) on insider threat appears at RAID.

August 25, 2005: Springer publishes Machine Learning and Data Mining for Computer Security. Amazon, Barnes & Noble, Reiters, Google Books.