I work in computer vision, the area of computer science concerned with automatically inferring semantic meaning from images -- teaching computers to "see." More generally, I am interested in problems that involve analyzing and modeling large amounts of uncertain data, like mining data from social networking websites.

    I'm an Associate Professor in the School of Informatics, Computing, and Engineering at Indiana University, where I direct the IU Computer Vision Lab. I'm on the faculty of the Computer Science, Informatics, Cognitive Science, and Data Science programs, and I'm adjunct in the Department of Statistics. My work has been funded by grants and contracts from the National Science Foundation (including through a CAREER award), Google, Kodak, the Department of Defense, and Indiana University.

    Before joining IU, I was a graduate student and postdoc in Computer Science at Cornell University. I worked with Professor Dan Huttenlocher on statistical part-based object recognition algorithms, and with Professor Jon Kleinberg on modeling and mining data from online social networks.

    Before Cornell, I spent two years in the research labs of Eastman Kodak Company. There I worked mostly on image understanding and enhancement algorithms for both consumer and medical images.