Academic Credentials
  • Ph.D., Biomedical Engineering, SUNY, Stony Brook University, 2014
  • M.S., Biomedical Engineering, SUNY, Stony Brook University, 2006
  • B.S., Biomedical Engineering, Washington University in St. Louis, 2004
Licenses & Certifications
  • Good Clinical Practices (GCP) in Medical Device Clinical Investigations (CA)
Additional Education & Training
  • Empowering Women in Technology Startups, University of Florida, 2016
Professional Honors
  • Respiration Section Trainee Poster Presentation Awards winner, Experimental Biology, 2021
  • Presidential Award, The 11th Oxford Conference on Modeling and Control of Breathing, 2009
Professional Affiliations
  • American Physiological Society (APS)

Dr. Shen's background in biomedical engineering has focused on collecting, improving, interpreting and processing electrical physiological signals. Dr. Shen's laboratory work has spanned multiple in vivo animal (including human) models, where she performed surface and conventional electromyography (EMG), extracellular neural and nerve recording, pharmaceutical testing and medical device testing. As a consultant, she has experience in helping clients design and execute large-scale human subject data collection studies that will aid in the development of new wearable devices for health and fitness tracking. She also has training in Good Clinical Practice (GCP) and Institutional Review Board (IRB) requirements.

Prior to working at Exponent, Dr. Shen worked as a Post-Doctoral Associate at the University of Florida where her research focused on understanding how neural circuitry from the brain controls upper airway reflexes and the understanding the relationship between upper airway reflexes, breathing and the cardiovascular system. This work involved in vivo models, digital signal processing, histology and pharmaceutical testing. Previously, she received her Ph.D. from Stony Brook University, where her thesis work used neurogram recordings from in vivo and in situ models to understand short- and long-timescale reorganization of the neural network controlling breathing.