Summary
John Ho is a research scientist at Meta Reality Labs and an associate professor on leave from NUS ECE, specializing in sensor systems and machine learning to digitally capture human behavior. He holds a PhD from Stanford and blends deep academic rigor with product-forward research, having led a 20+ person group developing wireless medical devices. Recognized by MIT Technology Review and Forbes, his work has appeared on multiple Nature covers and influenced both scientific and mainstream media. He has a strong track record of interdisciplinary innovation spanning bioelectronics, intracranial electrophysiology, and perception-aware algorithms. Based in Mountain View, he moves fluidly between lab, industry, and editorial roles (Physical Review Applied, Materials Today Electronics), evidencing uncommon breadth for an engineer-scientist. Colleagues note his knack for turning high-risk prototypes into deployable systems that reveal new ways to measure and intervene in human health.
8 years of coding experience
7 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stanford University