Dr. Surya Ganguli

Associate Professor

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Biography

Surya Ganguli is an Associate Professor in the Department of Applied Physics at Stanford University, with courtesy appointments in the Department of Neurobiology and as a Senior Fellow at the Stanford Institute for Human-Centered AI. He received his Ph.D. in Theoretical Physics from UC Berkeley in 2004, and has since focused on theoretical and computational neuroscience, exploring how neural circuits process information and learning. Ganguli has contributed to the field through various publications and research endeavors aimed at advancing the understanding of brain functionality. His impressive academic background is highlighted by a series of prestigious awards, including the Schmidt Science Polymath Award and the Sloan Research Fellowship. He actively mentors students and postdoctoral researchers, guiding them in their dissertation work and research projects. Beyond teaching and mentoring, Ganguli's work continues to make significant impacts in the understanding of cognitive processes through mathematical models and experimental validation.

Research Interests

Experience

Associate Professor

2013-01-01 — Present

Stanford University • Stanford, CA

Teaching and conducting research in the field of applied physics, with an emphasis on neuroscience.

Awards

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Schmidt Science Polymath Award

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Outstanding Paper Award

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NSF Career Award

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Investigator Award

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McKnight Scholar Award

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Scholar Award

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Outstanding Paper Award

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Sloan Research Fellowship

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Terman Award

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Career Award Scientific Interface

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Swartz Fellow

Courses

APPPHYS 293 APPPHYS 229 CS 499 CS 499P APPPHYS 291 BIOE 392 NEPR 299 APPPHYS 290 NEPR 399 CS 199 CME 400 CME 391 PHYSICS 490

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.