Summary
Zihao Zhou is a PhD student and graduate researcher at UC San Diego specializing in machine learning for spatiotemporal data, anomaly detection, and battery-health modeling. With eight years of experience bridging research and applied ML, he has led robotics teams (SSL robot soccer) and delivered production-relevant models during internships at MiningLamp and Novateur, where his work boosted anomaly-detection AUPRC from 30% to 66% without extra compute. His background in applied math and cognitive science informs a data-driven, systems-minded approach to problems spanning human mobility, Li-ion battery estimation, and robotics. He maintains an active research-to-demo pipeline (see zzhou.info) and brings both leadership and hands-on deep learning implementation to interdisciplinary teams.
8 years of coding experience
University of California, San Diego