Summary
Jeff Zhang is a biomedical imaging scientist and patent examiner with two decades of research leadership focused on non-invasive assessment of kidney and skeletal muscle physiology. He has led multi-institutional programs and built MR capabilities from the lab level—installing and managing 3T and 5T scanners—to translational research that produced NIH R01-funded methods for renal perfusion, oxygenation mapping, and exercise-stimulated muscle perfusion. His work spans technical innovation (DCE, ASL, BOLD, DTI, spectroscopy), image processing and deep learning for segmentation and diagnosis, and successful grant stewardship across RSNA, NKF, NIH and China’s NSF. Jeff’s career bridges academia and regulation—tenured faculty roles at ShanghaiTech and University of Utah, academic appointments at Harvard/MGH, and current work at the USPTO—giving him a rare combination of hands-on MR engineering, clinical translation experience, and IP expertise. Based in Malvern, PA and seeking medical-imaging roles in the northeastern U.S., he pairs electrical and biomedical engineering training with cross-disciplinary biology/chemistry study to tackle practical clinical imaging challenges.
8 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at Nanyang Technological University
The University of Utah
Postdoc fellow, Medical Imaging, Postdoc fellow, Medical Imaging at New York University
Bachelor of Engineering - BE, Control and Instrumentation, Bachelor of Engineering - BE, Control and Instrumentation at Harbin Institute of Technology