In 1993, Surya Ganguli graduated from
University High School in
Irvine, California, at the top of his class at the age of 16. He then attended the
Massachusetts Institute of Technology, where he spent five years completing bachelor's degrees in
mathematics,
physics, and
electrical engineering and
computer science, as well as a master's degree in the latter. During that time, Ganguli assumed research positions at the Information Mechanics Group at the
MIT Laboratory for Computer Science, at the Center for Space Research and the Center for Theoretical Physics at the
MIT Department of Physics, and the Information Systems and Technologies Laboratory and the Dynamics of Computation Group at the
Xerox Palo Alto Research Center. Ganguli then moved on to the
University of California, Berkeley, where he completed a master's degree in physics in 2000 and a master's degree in mathematics in 2004. He also completed a PhD in
string theory under Dr.
Petr Horava at the
Lawrence Berkeley National Laboratory later that year. While at Berkeley, he taught undergraduate courses on
quantum mechanics,
special relativity,
statistical physics,
electromagnetism, and
analytical mechanics. Following the completion of his doctorate, Ganguli became a postdoctoral fellow at the
University of California, San Francisco, a position he held until 2012. He had authored and co-authored a number of papers on theoretical neuroscience prior to this in the late 2000s (collaborating with
Haim Sompolinsky,
Peter Latham, and
Ken Miller in the process) and further taught a course on advanced theoretical neuroscience with
Larry Abbott,
Stefano Fusi, and Ken Miller in 2008, but it was at this point that Ganguli formally transitioned into theoretical neuroscience, assuming the position at the
Sloan-Swartz Center for Theoretical Neurobiology. As of 2012, Ganguli is an assistant professor at the department of applied physics, the department of neurobiology, the department of computer science, and the department of electrical engineering at
Stanford University. In 2017, he also assumed a visiting research professorship at
Google's
Google Brain Deep Learning Team. ==Select publications==