

Lu Zhong
I am currently a Provost Fellow at Dartmouth College, where I am primarily affiliated with the Dartmouth Institute for Health Policy and Clinical Practice, with additional affiliations at the Irving Institute for Energy and Society. At Dartmouth, I am developing independent interdisciplinary research on healthcare resilience, at the intersection of health data science, network science, and spatial analysis.
My research aims to understand and improve healthcare resilience under disruptions. Healthcare systems face growing challenges from infectious disease outbreaks, pandemics, climate-related hazards, and other systemic disruptions. I investigate how healthcare systems prepare for, respond to, and recover from these crises across three interconnected scales: population-level responses, hospital operations, and patient-level continuity of care, with applications in rural health, cancer care, and pandemic preparedness. While grounded in healthcare, my research generates broader insights into the resilience of complex socio-technical systems.
Methodologically, my research integrates large-scale health and behavioral data—including electronic health records, administrative healthcare data, and human mobility data—with computational network science, spatial analysis, machine learning, and AI-based modeling. By combining methodological innovation with real-world healthcare applications, I develop data-driven approaches to improve healthcare preparedness, resource allocation, and continuity of care during disruptions.
My work has been published in leading interdisciplinary journals, including Nature Medicine (2024), Nature Cities (2025), and Nature Communications Physics (2021), and has been supported by the Bill & Melinda Gates Foundation through a Research Accelerator Grant. I also serve as a reviewer for journals including BMC Public Health and Scientific Reports.
Prior to joining Dartmouth, I served as a Research Assistant Professor in the Department of Public Health Sciences at Clemson University (worked with Dr. Lior Rennert) and completed postdoctoral training in the Department of Computer Science and the Network Science and Technology Center at Rensselaer Polytechnic Institute (advised by Dr. Jianxi Gao). I received my Ph.D. in Data Science from the City University of Hong Kong (advised by Dr. Qingpeng Zhang).
Related links
News
-
2026/08. Lu started her new postion in Dartmouth, with mentorship from Dr. Amber Barnato, Dr. Katie Lichter, and Dr. Geoffrey Parker.
-
2026/06. New paper published by the Journal of The Royal Society Interface: Switching exploration modes in human mobility.
-
2026/06. Lu presented her work at NetSci 2026.
-
2026/06. Lu earned the certificate in AI Agents through The University of Texas at Austin Executive Education.
-
2026/05. New paper shared in medRxiv: A spatial EHR and wastewater-informed modeling framework for respiratory virus prediction under sparse and missing data conditions.
-
2026/04. Lu presents her work at the 2026 annual InsightNet meeting.
-
2026/04. New paper shared in arXiv: Enhancing structural resilience in healthcare through patient flow network.
-
2026/04. New paper published by PNAS Nexus: Persistent collaboration as a structural signature of scientific resilience
-
2026/03. Lu won the CBSHS Research Development Award.
-
2025/10. Lu presented her work at the Science for Health Systems Conference 2025.
-
2025/10. Lu presented her work for the Clemson-MUSC AI Hub Annual Summit.
-
2025/07. New paper published in Nature Cities: Universal expansion of human mobility across urban scales.
-
2025/04. New paper shared in medRxiv: Examining inequality in healthcare utilization during pandemic disruptions
-
2025/04. Lu joined Clemson University as a Research Assistant Professor.
-
2025/04. Lu presented her work on patient flow network at the conference NERCCS 2025.
-
2025/04. Congratulations to student Dimitri on receiving a PhD offer from Northeastern University's Network Science Institute!
-
2025/01. Congratulations to Lu for having her newborn boy Dylan!