I am a professor in the EECS Department and a principal investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. My primary research interest is in developing novel techniques for biomedical image analysis and understanding. I particularly enjoy working on algorithms that either explore the geometry of the world and the imaging process in a new way or improve image-based inference through statistical modeling of the image data. I am interested in shape modeling and representation, predictive modeling and visualization of statistical models. My current research focuses on developing statistical analysis methods for characterization of biological processes based on image information. In this domain, I am interested in modeling biological shape and function, how they relate to each other and vary across individuals.
The shared mission of Visual Computing is to connect images and computation, spanning topics such as image and video generation and analysis, photography, human perception, touch, applied geometry, and more.