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Surya Ganguli

Professor at Stanford (AI, Neuro, Physics) | Venture Partner at A16z

Surya Ganguli is a prominent figure in the fields of machine learning and theoretical neuroscience. With a focus on extracting insights from high-dimensional data and understanding brain processing mechanisms, he aims to boost artificial algorithms for better data analysis. Ganguli's expertise spans across machine learning, information theory, optimization theory, control theory, Bayesian inference, dynamical systems, statistical physics, and neurobiology.

Ganguli's academic journey includes extensive studies at prestigious institutions like Massachusetts Institute of Technology and University of California, Berkeley. He holds Master's degrees in Electrical Engineering and Computer Science (EECS), Mathematics, and a Ph.D. in Theoretical Physics.

Throughout his career, Ganguli has been associated with renowned organizations such as Andreessen Horowitz, Stanford University, Meta AI Research, Google, and Harvard University. He has held positions ranging from Venture Partner to Associate Professor and Research Scientist in various institutions.

Highlights

Feb 24 · twitter

Lead by Ben Nachman, we are organizing a conference on Physics and AI (PAI2026) @Stanford. Should be exciting! Please submit! https://t.co/XTT6iELdOi Paper submission due: April 15 Conference start: June 10

Oct 21 · twitter

Good point. My first paper was on time travel in the Gödel universe. ML was easy to pick up after that :) https://t.co/3a24bdVfFD

Surya Ganguli
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Location

Stanford, California, United States