My research studies the computational principles underlying visual perception. I pursue connections between the statistical patterns of the natural world of sights and the resulting representations in the minds of human and animal observers. My work draws on theories in computer vision, machine learning, psychology, biology, and statistics, among other areas. I also dedicate significant attention to the development and application of data analysis techniques to gain better understandings of neural (and other biological) data.
