Summary
Xu Li is an associate professor at Johns Hopkins School of Medicine with eight years of faculty experience and a two-decade track record in biomedical imaging algorithm and system development. His expertise spans bioimpedance and ultrasound imaging, MR susceptibility and susceptibility tensor imaging, bioelectromagnetism, and FEM-based modeling, with a strong emphasis on quantitative algorithm development and experimental system implementation. He has advanced magnetoacoustic tomography with magnetic induction (MAT-MI) from theory through hardware and demonstrated performance gains in both simulations and experiments. Based in Baltimore, he combines rigorous PhD-level modeling and signal-processing skills with hands-on instrument design, bridging computational and experimental neuroscience. His work often uncovers subtle tissue susceptibility contrasts and vector acoustic source reconstructions that improve structural and functional imaging sensitivity.
8 years of coding experience
17 years of employment as a software developer
PhD, Biomedical Engineering, PhD, Biomedical Engineering at University of Minnesota
M.S, Biomedical Engineering, M.S, Biomedical Engineering at Zhejiang University
Chinese, English