Dr. Manish Saggar

Associate Professor

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Biography

Manish Saggar is an Associate Professor of Psychiatry and Behavioral Sciences at Stanford University, directing the Brain Dynamics Lab. His research focuses on developing computational methods that integrate psychiatric diagnosis with biological features such as neural circuits and spatiotemporal neurodynamics. The lab is recognized for its innovative approaches in using data-driven computational methods to generate clinically relevant insights from high-dimensional biological data, including neuroimaging. Funding for the lab comes from prestigious sources like the NIH Director’s New Innovator Award and NIMH R01. Moreover, Dr. Saggar has received several awards for his contributions to the field, including the NARSAD Young Investigator Award and the annual Chairman's Award from the Department of Psychiatry. He holds a Ph.D. in Computer Science from the University of Texas at Austin and completed a postdoctoral fellowship in Psychiatry at Stanford University. Additionally, Dr. Saggar is actively involved in clinical trials aimed at improving mental health through internet-based meditation practices. His work has garnered recognition both locally and internationally.

Research Interests

Experience

Associate Professor (Research)

2018-01-01 — Present

Stanford University • Stanford, CA

Directing the Brain Dynamics Lab, focusing on the intersection of computational methods and psychiatric diagnosis.

Awards

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Tashia John Morgridge Endowed Faculty Scholar

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Travel Fellowship Award

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Annual Chairman's Award Advancing Science

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NIH Director's New Innovator Award

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NARSAD Young Investigator Grant

Patents

Systems and Methods for Mapping Neuronal Circuitry and Clinical Applications Thereof

16/171,255 2019-01-01

Patent related to neuronal circuitry and its clinical applications.

https://patents.google.com/patent/US16171255B2/en

Courses

PSYC 250 BIOE 392 NEPR 299 BIOPHYS 300 PSYCH 275 SYMSYS 196 PHYSICS 490 PSYC 199

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.