I'm a Stanford Data Science Postdoctoral Fellow and NINDS F32 Postdoctoral Fellow, and 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, migraine, 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.

Honors & Awards

  • NIH NINDS F32 Postdoctoral Fellowship, NIH NINDS (2021-2024)
  • Stanford Data Science Postdoctoral Fellowship, Stanford University (2021-2024)
  • Collamore-Rogers Fellowship, MIT Office of Graduate Education (2020-2021)
  • 3rd place, IEEE Engineering in Medicine and Biology Conference Student Paper Competition, IEEE Engineering in Medicine and Biology Society (2020)
  • Sloan School of Management Healthcare Certificate, MIT Sloan School of Management (2020)
  • Kauffman Teaching Certificate Program Graduate, MIT Teaching-Learning Lab (2019)
  • Society for Neuroscience Trainee Professional Development Award, Society for Neuroscience (2017)
  • MIT Presidential Fellow, MIT (2016)
  • NSF Graduate Fellow, National Science Foundation (2015-2020)
  • Churchill Scholar, The Winston Churchill Foundation (2015-2016)
  • Gates Cambridge Interview Finalist (gave up interview slot after winning Churchill), Bill and Melinda Gates Foundation (2015)
  • Hertz Fellowship Top 50 Finalist, The Hertz Foundation (2015)
  • NDSEG Recipient (declined in favor of NSF GRADSAF instead), US Department of Defense (2015)
  • Richard J. Johns Award, Department of Biomedical Engineering, Johns Hopkins University (2015)
  • Tau Beta Pi National Engineering Honor Society, Tau Beta Pi (2013-2015)
  • Goldwater Scholarship, Barry Goldwater Scholarship and Excellence in Education Foundation (2013)
  • USPTO Collegiate Inventor’s Competition Undergraduate Champion, US Patent and Trademark Office, Invent Now (2013)
  • National AP Scholar, CollegeBoard (2011)
  • State AP Scholar - Michigan, CollegeBoard (2011)
  • US Department of Education Presidential Scholar Semifinalist, US Department of Education (2011)

Professional Education

  • Doctor of Philosophy, Massachusetts Institute of Technology (2021)
  • Bachelor of Science, Johns Hopkins University, Biomedical Engineering (2015)
  • Master of Philosophy, University of Cambridge (2016)
  • B.S., Johns Hopkins University, Biomedical Engineering, Applied Mathematics and Statistics (2015)
  • M.Phil., University of Cambridge, Clinical Neurosciences (2016)
  • Ph.D., Harvard-MIT Division of Health Sciences and Technology, Medical Engineering and Medical Physics (2021)

Stanford Advisors


  • Emery N Brown, Riccardo Barbieri, Sandya Subramanian. "United States Patent PCT/US2020/042031 Tracking Nociception Under Anesthesia Using a Multimodal Metric", Massachusetts Institute of Technology
  • Sandya Subramanian, Riccardo Barbieri, Emery N Brown. "United StatesSurgical Cautery Artifact Removal from Electrodermal Activity Data", Massachusetts Institute of Technology
  • Sandya Subramanian, Todd Coleman. "United StatesAutomated classification of sleep and wake from single day triaxial accelerometer data", Stanford University
  • Aaron Chang, Melinda Chen, Piyush Poddar, Rohil Malpani, Peter Malamas, Sandya Subramanian, Joon Eoh, Kevin George, Todd J. Cohen. "United States Patent 9,474,892 Method and System for Decreasing Transthoracic Impedance for Cardioversion and Defibrillation", Cardiac Inventions, Oct 25, 2016
  • Piyush Poddar, Aaron Chang, Melinda Chen, Peter Malamas, Sandya Subramanian, Todd J. Cohen. "United States Patent 9,320,884 Method and System for Switching Shock Vectors and Decreasing Transthoracic Impedance for Cardioversion and Defibrillation", Cardiac Inventions, Apr 26, 2016
  • Sridevi Vedula Sarma, Sandya Subramanian, Stephanie Hao. "United States Patent 9,277,873 Computational tool for pre-surgical evaluation of patients with medically refractory epilepsy", Johns Hopkins University, Mar 8, 2016