Summary
Ziheng Li is a research-driven engineer blending nine years of software and neurotech experience to build cybernetic interfaces that extend human perception through eye-tracking, wireless sensing, and AR/VR. Currently a PhD student at Columbia jointly advised in computer science and biomedical engineering and a research intern at Google DeepMind, he bridges rigorous academia with industry research. His background includes hands-on neural engineering at OpenBCI and embedded/FPGA work from earlier roles, giving him rare full-stack fluency across hardware, real-time systems, and machine learning. Colleagues know him as a pragmatic creator who treats interfaces as cognitive amplifiers, and off-hours he mixes artful curiosity with a keen devotion to Tabasco—evidence of a playful, taste-driven approach to experimentation.
9 years of coding experience
3 years of employment as a software developer
Graduate with Highest Distinction | Bachelor of Science Computer Science; Electrical & Computer Engineering, Graduate with Highest Distinction | Bachelor of Science Computer Science; Electrical & Computer Engineering at Worcester Polytechnic Institute
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
English, Chinese, Japanese