I came to CMU directly after finishing my undergraduate degree in computer science at Cornell University. During undergrad I also had a chance to spend two summers working at research labs (PARC and FXPAL) in California doing robotics/AI research and biking.
My main research interests are in artificial intelligence, machine learning, data mining, and robotics. Specifically, I am interested in the “real world” problems where the information presented is usually very noisy and incomplete. How can computers form a meaningful picture and make decisions from this type of information?