Summary
Jason Xu is a Biomedical Engineering PhD candidate and research scientist in Los Angeles with 11 years of experience building mechanistic neural models and hardware for neural prosthetics. He develops anatomically constrained hippocampal models and leverages GAN-based deep learning and latent dynamics to boost decoding stability and memory-restoration performance across animals. His work spans both computational methods—statistical inference, stochastic modeling, dimensionality reduction—and hands-on hardware design for ultrasonic and electrophysiological neural interfaces. At USC and prior roles at Duke and Keck, he has delivered end-to-end systems from PCB and transducer design to simulation and algorithm optimization, increasing productivity metrics by nearly 100%. He combines rigorous engineering with translational focus, routinely bridging grant-writing, teaching, and multidisciplinary collaboration to move neural prosthetic concepts toward real-world impact.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Engineering, Doctor of Philosophy - PhD, Biomedical Engineering at University of Southern California
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at 美国南加州大学
Master of Science - MS, Biomedical Engineering, Master of Science - MS, Biomedical Engineering at Duke University