Samir Chowdhury

Postdoctoral Scholar
Email
samircobfuscate@stanford.edu

I am an applied mathematician trained in computational topology, geometry, and data analysis. At Stanford, I am working on developing new methods for analyzing and fingerprinting neuroimaging data and in obtaining meaningful clinical insights from such analysis.

Prior to Stanford, I completed my PhD in the Department of Mathematics at The Ohio State University under the supervision of Facundo Mémoli. My thesis was titled “Metric and Topological Approaches to Network Data Analysis”.

Papers

Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data (2023). BioRxiv

Temporal Mapper transition networks in simulated and real neural dynamics (2022). Network Neuroscience

NeuMapper - A scalable computational framework for multiscale exploration of the brains dynamical organization (2022). Network Neuroscience

Projects

Only time will tell - a computational psychiatry approach to model temporal transitions in brain activity as a lens towards developing better diagnostic nosology for psychiatric illness