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Biomedical Engineering, Statistics, Neuroscience, Healthcare

Sandya Subramanian

I'm a Postdoctoral Fellow at Stanford Data Science, where I work with Professor Todd Coleman in Bioengineering and Professor Sean Mackey in Pain Medicine. My research is on developing new technologies and methods to study the interactions between the brain and the gut, including the autonomic nervous system. Brain-gut interactions are poorly understood but involved in a number of disorders, such as functional gastrointestinal disorders, Parkinson’s disease, diabetes, migraines, and eating disorders. The goal of my research is to improve our ability to monitor and quantify these physiologic processes.

I completed my B.S. in Biomedical Engineering and Applied Mathematics & Statistics from Johns Hopkins University in 2015 and spent the next year as a Churchill Scholar at the University of Cambridge getting an M.Phil. in clinical neurosciences (all my research was computational). I then did my Ph.D. at MIT in the Harvard-MIT Health Sciences and Technology program, advised by Professor Emery Brown. During my PhD, I developed and tested models and methods to track unconscious pain under anesthesia in the operating room. I grew up in Grand Rapids, Michigan.