Manish Saggar
Associate Professor
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolManish Saggar is an Associate Professor at Stanford University School of Medicine and long-time d.school teaching faculty who blends machine learning, signal processing, econometrics, and computational modeling to extract actionable patterns from large neuroimaging and behavioral datasets. With a PhD in Computer Science and postdoctoral training in psychiatry, he has spent over a decade developing novel hyperscanning and brain-network methods to probe social interaction, creativity, and neurodevelopmental disorders. His work spans rigorous methodological development and hands-on experimentation—ranging from high-density EEG analyses of meditation to multi-person fMRI/NIRS studies—bringing engineering discipline to clinical neuroscience. Based in Palo Alto, he bridges academia and design, often translating complex computational insights into teachable tools and interdisciplinary projects that inform both research and practice.
8 years of coding experience
14 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at The University of Texas at AustinPostdoctoral Fellowship Psychiatry, Postdoctoral Fellowship Psychiatry at Stanford University School of MedicineB.Tech. Information Technology, B.Tech. Information Technology at Indian Institute Of Information Technology Allahabad Biodesign Faculty Fellow Innovation, Biodesign Faculty Fellow Innovation at Stanford University
English, Hindi, Punjabi
Github Skills (9)
bids7
image-processing6
brain-imaging5
pipeline5
neuroimaging5
preprocessing4
intervention4
python2
machine-learning1
Programming languages (2)
Github contributions (5)
braindynamicslab/tda-mito-networks
Jul 2022 - Jun 2023
Contributions:2 releases, 4 pushes, 1 branch in 11 months
braindynamicslab/w3c
May 2022 - Aug 2022
Contributions:4 commits, 3 pushes, 1 branch in 2 months
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