Samir Chowdhury

Samir Chowdhury's work experience begins in 2017 as a Research and Teaching Assistant at Brown University. From there, they worked as a PhD candidate at The Ohio State University, specializing in machine learning, algorithms, network science, and quantitative analysis. During this time, they obtained grants for research travel and made significant contributions to bridging topological data analysis techniques with network datasets.

In 2019, Samir joined Stanford University as a Postdoctoral Scholar at the Brain Dynamics Lab, where they focused on computational neuropsychiatry and building models of the brain's overall dynamical organization. Samir led the design of scalable network science frameworks for inference and prediction on neuroimaging data, including reducing the complexity of a core algorithm.

In 2022, Samir moved to Revelio Labs as a Machine Learning Engineer, and later joined Bear Flag Robotics as a Senior Computer Vision Engineer.

Samir Chowdhury started their education journey in 2009 at Tufts University, where they pursued a Bachelor's Degree in Engineering Science and Mathematics. After completing their undergraduate studies in 2013, they enrolled at The Ohio State University to pursue a Doctor of Philosophy (Ph.D.) in Mathematics. Samir successfully completed their doctoral studies in 2019. Following that, they joined Stanford University in 2019 as a Postdoctoral Scholar, specializing in Computational Psychiatry. Samir remained at Stanford University until 2022, gaining valuable research experience in their chosen field.