Summary
Xiang Li is a Ph.D. candidate and graduate research assistant at Carnegie Mellon University with four years of research experience spanning implantable neural probes, optogenetics, and neural signal processing. He holds an MS from CMU after earning a BE in Computer Engineering from HKUST, and his background blends information networking and security foundations with hands-on neuroengineering. At CMU he develops experimental hardware and algorithms that bridge low-level neural interfacing and signal analysis, reflecting both engineering rigor and biological curiosity. Known for exploring new domains, he brings a rare combination of embedded systems, optics-aware experimentation, and signal-processing expertise to translational neuroscience projects.
4 years of coding experience
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Carnegie Mellon University
Hong Kong University of Science and Technology (HKUST)
English, Chinese