Summary
Megan Poorman is a biomedical engineer and researcher with 11 years of experience translating quantitative MRI methods into clinical and point-of-care applications. She has led interdisciplinary projects across government labs, startups, and academia—most recently advising ARPA-H and consulting as a lead scientist—focused on image-guided interventions, MR thermometry, and validation/standardization of quantitative MRI. Her work spans RF coil and pulse sequence development, MR fingerprinting, and device integration for minimally invasive therapies, with hands-on experience from ultra low-field to clinical scanners. A PhD from Vanderbilt, she blends deep MR physics and algorithm development with product-focused clinical science, and uniquely pairs that technical rigor with a penchant for outdoor adventure and international collaboration.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science Biomedical Engineering, Bachelor of Science Biomedical Engineering at Texas A&M University
Doctor of Philosophy (PhD) Biomedical Engineering, Doctor of Philosophy (PhD) Biomedical Engineering at Vanderbilt University