Surya Ganguli

Surya Ganguli is an Associate Professor of Applied Physics at Stanford University, where he leads the Neural Dynamics and Computation Lab. He also holds a Research Scientist position at Meta AI.

• MSc, MIT (Physics, Mathematics, EECS)
• PhD, UC Berkeley (String Theory)
• Postdoctoral Researcher, UCSF (Theoretical Neuroscience)

His research bridges neuroscience, machine learning, and physics, focusing on understanding and improving emergent computations in biological and artificial neural networks. A key interest involves leveraging statistical mechanics to optimize neural network scaling laws through data pruning.

• Swartz Fellowship in computational neuroscience
• Burroughs-Wellcome Career Award
• Terman Award
• NeurIPS Outstanding Paper Award
• Sloan fellowship
• James S. McDonnell Foundation scholar award in human cognition
• McKnight Scholar award in Neuroscience
• Simons Investigator Award in mathematical modeling of living systems
• NSF Career Award

At Stanford, Ganguli directs a lab exploring neural dynamics and computation. His work spans theoretical and applied domains, integrating physics-based insights into machine learning optimization.