Jay completed his third year in the MD program at Baylor College of Medicine and is currently on leave of absence from his medical degree to pursue opportunities in translational health technology research and development. His undergraduate background is in Biomedical & Electrical Engineering from Duke University, where he was also a fellow in the Biodesign training program. Before medical school, Jay worked at MIT Lincoln Laboratory, where he built a handheld robotic system for ultrasound-guided femoral vascular access and algorithms for early, noninvasive detection of hypovolemic shock using wearable sensors. After three years at Baylor, he returned to MIT-LL where he is currently developing contrast-enhanced ultrasound imaging techniques to enable torso hemorrhage localization in austere, prehospital environments. Jay’s technical expertise sits at the nexus of data science (artificial intelligence, machine learning, deep learning), diagnostics, medical devices, and signal & image processing. His long-term interests are in a career that bridges clinical medicine with innovation & technology commercialization.
