His research addresses problems in computer vision, deep-learning, human perception, neuroscience and visual computing. A common theme across these projects is the application of machine learning and data science to understand and draw inferences from complex data. This serves to produce a stronger understanding of the basic science underlying different phenomena, and to help engineer intelligent and/or application specific solutions to problems.