Summary
Hao Yan is an Associate Professor and researcher with over a decade of expertise in industrial engineering, computational science, and statistics, currently based in Atlanta and teaching at Arizona State University. He specializes in optimization, simulation, and machine learning for real-world systems across manufacturing, logistics, healthcare, and energy, with particular interest in anomaly detection for spatio-temporal data. Hao combines strong quantitative training (PhD in Industrial Engineering, master’s degrees in Computational Science and Statistics) with hands-on research begun at Georgia Tech and Peking University, producing practical solutions that bridge theory and application. As an educator he designs rigorous, engaging courses and mentors students toward interdisciplinary collaboration, and he actively seeks partnerships that translate academic advances into impactful deployments.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Industrial Engineering, Doctor of Philosophy (Ph.D.), Industrial Engineering at Georgia Institute of Technology
Bachelor's degree, Economics, Bachelor's degree, Economics at Peking University