Pawan Sinha is a professor of vision and computational neuroscience in the Department of Brain and Cognitive Sciences at MIT. He received his undergraduate degree in computer science from the Indian Institute of Technology, New Delhi and his Masters and doctoral degrees in Artificial Intelligence from the Department of Computer Science at MIT. He has also had extended research stays at the University of California, Berkeley, Xerox Palo Alto Research Center, the Sarnoff Research Center in Princeton, and the Max-Planck Institute for Biological Cybernetics in Tübingen, Germany.

Pawan’s research interests span neuroscience, artificial intelligence, machine learning, and public health. Using a combination of experimental and computational modeling techniques, research in his laboratory focuses on understanding the processes and principles of perceptual development. The lab's experimental work on these issues involves studying healthy individuals and also those with neurological disorders such as autism. The goal is not only to derive clues regarding the nature and development of human visual skills, but also to create more powerful and robust AI systems. 

Pawan has served on the program committees for prominent scientific conferences on object and face recognition and is currently a member of the editorial board of ACM's Journal of Applied Perception. He is a recipient of the Pisart Vision Award from the Lighthouse Guild International, the PECASE – the highest US Government award for young scientists, the Alfred P. Sloan Foundation Fellowship in Neuroscience, the John Merck Scholars Award for research on developmental disorders, the Jeptha and Emily Wade Award for creative research, the James McDonnell Scholar Award, the Troland Award from the National Academies, the Global Indus Technovator Award and the Distinguished Alumnus Award from IIT Delhi. Pawan's teaching has been recognized by Departmental honors and the Dean’s Award for Advising and Teaching at MIT.