More About Surya
Surya Ganguli is a venture partner on the Bio+Health team, advising the investing team and portfolio companies on the theory and application of artificial intelligence to solving deep and broad technical problems.
Surya is also an associate professor of Applied Physics at Stanford University, with courtesy appointments in Computer Science, Electrical Engineering and Neurobiology. At Stanford he directs the Neural Dynamics and Computation Lab. His research spans the fields of artificial intelligence, neuroscience, and theoretical physics, focusing on understanding and improving how both biological and artificial neural networks learn striking emergent computations. Surya has also been a researcher at both Google AI and Meta AI.
Surya triple majored in physics, mathematics and electrical engineering and computer science as an undergrad at MIT and obtained a masters in pure mathematics and a PhD in string theory at Berkeley. He completed postdoctoral research at UCSF in neuroscience before joining Stanford as faculty. He has earned numerous awards, including two NeurIPS Outstanding Paper Awards, a Burroughs-Wellcome Career Award, a Sloan fellowship, a James S. McDonnell Foundation scholar award in human cognition, a McKnight Scholar award in Neuroscience, a Simons investigator award in the mathematical modeling of living systems, an NSF career award, and a Schmidt foundation polymath award.