My research focuses on the theory and application of machine learning. In the past, I have been working on a number of research projects including speech and object recognition, manifold learning and dimensionality reduction, optimization algorithms for large margin classifiers, and others.

Recently, I have been interested in applying machine learning techniques to understanding human perception and cognitive processes by modeling and analyzing brain imaging data. I have also been actively working on computer vision problems with my collaborators.