Chenyang Lu

Chenyang Lu is the Fullgraf Professor of Computer Science & Engineering at Washington University in St. Louis, with joint appointments in Anesthesiology and Medicine. As the founding director of the AI for Health Institute, he leads interdisciplinary efforts to address healthcare challenges through AI and data-driven approaches. His research focuses on machine learning for health outcomes prediction, cyber-physical systems, and real-time embedded systems.

Education: PhD (University of Virginia, 2001), MS (Chinese Academy of Sciences, 1997), BS (University of Science and Technology of China, 1995).

Research interests include AI-driven healthcare, wearable sensor systems, and cyber-physical co-design. Notable projects include predictive models for postoperative risks, HIV treatment adherence, and phenotyping neurological disorders like Chiari malformation. His work has produced foundational AI tools for perioperative care, physician burnout prediction, and mental health monitoring.

Awards include ACM Fellow (2020), IEEE Fellow (2016), and the 2022 IEEE TCRTS Outstanding Technical Achievement Award. He has published over 200 papers and serves as Editor-in-Chief of ACM Transactions on Cyber-Physical Systems.

Led teams securing grants from NIH, NSF, and industry. Advises over 30 PhD students who now hold roles at top universities and tech companies like Google, Meta, and Amazon. Directs the Cyber-Physical Systems Laboratory and oversees the AI for Health Institute’s translational research initiatives.