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Lu Zhong

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I am currently a postdoctoral research associate in the Department of Computer Science at Rensselaer Polytechnic Institute, as advised by Jianxi Gao. I obtained my Ph.D. degree in Data Science at the City University of Hong Kong in 2019, advised by Qingpeng Zhang.

 

My research lies in the intersection of network science, public health, and social science. Specifically, through developing data-driven modeling (Big Data/ML/AI) with network science theory, my research endeavors to improve public health, understand human behavior, and guide data-driven policymaking for disaster preparedness and response. My work involves developing predictive models for infectious disease spread (Nat.Commun.Phys'21, IEEETrans.Cybern'18) and mobility patterns (ArXiv'23), and enhancing healthcare resilience to withstand and recover from crises (Nat. Med'24)

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My research leverages terabytes and petabytes of data sourcing from Cuebiq (human mobility data) and the COVID-19 Research Database (EHR data) to better understand human networks and behaviors at the center of societal challenges during disaster events. I have 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, Physica A, and Scientific Reports.​​

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