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Haidong Lu, PhD


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Haidong Lu, PhD



Haidong Lu is an epidemiologist and methodologist who is passionate about bridging the disciplines of epidemiology, statistics, population health and medical research. His research focuses on leveraging appropriate advanced epidemiologic methods to draw causal inferences from observational data (e.g., longitudinal cohort studies and electronic health records). Through this approach, he strives to generate accurate and impactful real-world evidence bases that inform health decision-making and promote public health equity. Dr. Lu is also focused on enhancing methodologies for analyzing randomized controlled trials, particularly in addressing challenges related to non-compliance and generalizability. His substantive research interests center around infectious diseases, substance use, and pharmacoepidemiology. He earned a PhD in Epidemiology with a formal minor in Biostatistics from UNC Gillings School of Global Public Health, and a master's degree from Johns Hopkins Bloomberg School of Public Health. Dr. Lu also holds a degree in pharmacy, further reinforcing his diverse and extensive background in health-related fields.

Dr. Lu is currently supported by the NIH/NIDA K99/R00 Pathway to Independence Award on evaluating and optimizing care for opioid use disorder through state-of-art data science approaches (e.g., mathematical modeling, counterfactual prediction, and machine learning-based precision medicine).

Education & Training

  • PhD
    The University of North Carolina Gillings School of Global Public Health, Epidemiology (2020)
  • MHS
    Johns Hopkins Bloomberg School of Public Health, Epidemiology (2016)

Honors & Recognition

AwardAwarding OrganizationDate
Finalist of the Lilienfeld Postdoctoral Prize Paper Award The Society for Epidemiologic Research2023
K99/R00 Pathway to Independence AwardNIH/NIDA2023
ViiV Healthcare Fellowship UNC Gillings School of Global Public Health2019
The Miriam E. Brailey Fund Johns Hopkins Bloomberg School of Public Health2016

Professional Service

Interdisciplinary Association For Population Health ScienceMember2022 - Present
BMJ MedicineReviewer2022 - Present
Annals of Internal MedicineReviewer2022 - Present
Epidemiologic MethodsReviewer2022 - Present
International Society for PharmacoepidemiologyMember2022 - Present
Society for Causal InferenceMember2022 - Present
Annals of EpidemiologyReviewer2022 - Present
Journal of Clinical EpidemiologyReviewer2021 - Present
AIDS and BehaviorReviewer2020 - Present
Statistics in MedicineReviewer2020 - Present
International Journal of EpidemiologyReviewer2020 - Present
PLoS OneReviewer2019 - Present
EpidemiologyReviewer2018 - Present
Journal of Medical Internet ResearchReviewer2018 - Present
American Journal of EpidemiologyReviewer2017 - Present
BMC Infectious DiseasesReviewer2017 - Present
The Society of Clinical TrialsMember2016 - Present
American Statistical AssociationMember2015 - Present
Society for Epidemiologic ResearchMember2015 - Present

Departments & Organizations