He completed his PhD in the Department of Brain and Cognitive Sciences at MIT with a specialization in computational neuroscience. Before joining MCB/CBS, he was a junior fellow at the Rowland Institute at Harvard, a multidisciplinary institute focused on high-risk, high-reward scientific research at the boundaries of traditional fields. His laboratory seeks to understand the computational underpinnings of high-level visual processing through concerted efforts in both reverse and forward engineering. To this end, his group employs a wide range of experimental techniques (ranging from microelectrode recordings in living brains to visual psychophysics in humans) to probe natural systems, while at the same time actively developing practical computer vision systems based on what is learned about the brain.