Research introduction: I have a broad variety of interests in research. My overall research focuses on the area of machine learning and data mining, but fundamentally I am a bit of a computer statistician. Projects involving software or software agents that learns to perform better interest me.

Suggested project areas

• Robotic gaming - I am very interested in Robotic games, and especially the RoboCup simulated soccer game. In previous research my students have developed a basic interface for working with RoboCup, I would be interested in developing learning agents working with that interface to try to learn how to play the game.
• Sports statistics - the huge growth in sports statistics and our better understanding of how those statistics help us better understand performance is highly interesting to me. Though there has been a lot of work on baseball statistics, less has been done with statistics in other sports (for example, basketball is just seeing the introduction of ideas such as tempo-free offense). I would be interested in working on methods to crawl the web for data (extracting box scores for example) and on predictive methods.
• Bioinformatics - I have a project for implementing a known algorithm for bi-clustering data (basically clustering data together in groups, but where you consider two different types of labels for the groups). This project could lead to a publication if it works well and we would likely make the software available on the web.