I am currently a Research Assistant Professor in the Department of Public Health Sciences at Clemson University, working with Dr. Lior Rennert within the Center for Public Health Modeling and Response. Before that, I was a postdoctoral research associate in the Department of Computer Science and the Network Science and Technology Center at Rensselaer Polytechnic Institute, as advised by Dr. Jianxi Gao. I obtained my Ph.D. degree in Data Science at the City University of Hong Kong, advised by Dr. Qingpeng Zhang.

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​My research focuses on improving healthcare operations and resilience by bridging computational network science with AI-driven decision intelligence. By decoding the multi-scale structural dynamics, I develop evidence-based frameworks for public health preparedness and response to extreme events, ranging from infectious disease surges, pandemics, and natural disasters to climate events. Using predictive modeling, complex systems analysis, and graph-based machine learning, my work has advanced the understanding of spatial epidemiology with human mobility and healthcare system resilience, with flagship findings published in Nature Medicine (2024), Nature Cities (2025), and Nature Communications Physics (2021). Beyond clinical operations, my research extends to the resilience of socio-technical systems to address broader societal challenges.

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Broadly, I leverage petabyte-scale human behavior data and electronic health records to advance data-driven intelligence in public health. My research has been awarded the Research Accelerator Grant from the Bill & Melinda Gates Foundation. I am also the referee for Journals like IEEE Transactions on Computational Social Systems, BMC Public Health, and Scientific Reports, dedicated to advancing the frontier of computational public health.​​​​​

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Related links​

• Mobility Models and Infectious Disease Spread