Before joining Cornell, he spent two years as a postdoc in Facebook AI Research after obtaining a PhD from UC Berkeley with Jitendra Malik. At Berkeley, he was the recepient of the Microsoft Research fellowship. His interests are in all things visual recognition. Of late, he has become bothered by the reliance on massive labeled datasets and the scalability of such datasets to harder problems such as visual reasoning. His current work is on building recognition systems that learn with less data and / or output a much deeper understanding of images.