Academic Credentials
  • Ph.D., Biomedical Engineering, University of Delaware, 2022
  • B.S., Biomedical and Mechanical Engineering, Worcester Polytechnic Institute, 2017
Professional Honors
  • Dissertation Fellowship Award, University of Delaware Graduate College, 2021-2022
  • Best Paper Award, University of Delaware Biomedical Engineering Department, 2021
  • Excellence in Graduate Student Teaching, University of Delaware Faculty Senate, 2019
Professional Affiliations
  • Biomedical Engineering Society (BMES)
  • International Society for Magnetic Resonance in Medicine (ISMRM)
  • Order of the Engineer
  • Society for Neuroscience (SfN)

Dr. Delgorio's expertise is in medical imaging and mechanical analyses of medical devices across the total product lifecycle. She has experience in medical device evaluations including MRI compatibility of both active and passive devices, microCT analysis of device wear and deformation, and wear testing analyses. She has also provided technical guidance for regulatory and risk management mitigation strategies of medical devices. Furthermore, Dr. Delgorio has experience in test method development for the material characterization and performance testing of health products. This includes providing project support using coding (MATLAB) and modeling (ANSYS, SpaceClaim) software.

Prior to joining Exponent, Dr. Delgorio obtained her Ph.D. in Biomedical Engineering from the University of Delaware where she focused on using magnetic resonance elastography, a non-invasive MR imaging technique, to capture the viscoelastic property changes of biological brain tissue in both aging and neurodegeneration. This work involved using MR imaging sequences and applying finite element modeling tools to estimate soft tissue viscoelasticity as well as protocol development for the institutional review board (IRB) for human subject research. She tailored and adapted the first high-resolution MR elastography imaging protocol to reliably capture the mechanical properties of small brain structures. Through her thesis work, she gained skills in experimental design for biomedical applications in MR imaging and MR elastography, MR imaging data processing analysis using the FMRIB imaging software library, and advanced statistical models using SPSS/R statistical software packages.