Assistant Professor
Department of Epidemiology
University of Florida
Email: huihu at ufl dot edu

Hello!

I am an Assistant Professor in Department of Epidemiology at University of Florida starting from Fall 2016, and I am also a member of the Precision Public Health workgroup at UF. I am currently establishing the Precision heaLth ANd Exposome (PLANE) Lab.

At the PLANE Lab, we strive to develop exposome data integration and machine learning algorithms to better discover actionable patterns from big population health data. Our research considers the totality of the biological, lifestyle, and environmental factors that impacts population health and provides personalized solutions that allow individuals and neighborhoods to improve their health and wellness.

News and Highlights

[08/2020]: Grateful to receive a grant from NCATS, as the MPI, to support our research on assessing the feasibility of a universal prenatal screening tool to identify women at risk of pregnancy-associated death.
[08/2020]: Grateful to receive an R21 grant from NIEHS, as the contact PI, to support our research on studying the external exposome and COVID-19 severity.
[05/2020]: One paper on the external exposome-wide association study of hypertensive disorders of pregnancy is published by Environment International.
[02/2020]: A systematic review on environment-wide association study is published on Envionrmental Research.
[01/2020]: An invited commentary on air pollution and preeclampsia is published by Hypertension.
[06/2019]: One paper on the association between age at menarche and depression is published by PeerJ.
[05/2019]: Honored to be invited by AHA to participate the 45th annual Ten-Day Seminar on the Epidemiology and Prevention of Cardiovascular Disease and Stroke.
[04/2019]: One paper on the spatiotemporal patterns of racial disparities in hypertensive disorders of pregnancy is published by Spatial and Spatio-temporal Epidemiology.
[03/2019]: Honored to be awarded the Sandra A. Daugherty Award for Excellence in Cardiovascular Disease or Hypertension Epidemiology and Prevention by AHA.
[09/2018]: Excited to colloborate with Dr. Linda Cottler on a NIDA R21 grant, as a Co-I, to identify patterns of polysubstance use.
[08/2018]: Excited to be invited to review for the New England Journal of Medicine.
[05/2018]: One paper on the global burden of HIV-1 drug resistance is published by PeerJ.
[02/2018]: Excited to collaborate with Dr. Mattia Prosperi on a contract from Florida Department of Health to perform spatiotemporal analysis of HIV drug resistance.
[01/2018]: Excited to collaborate with the UF Diabetes Institute and Stanford University on a grant from the Helmsley Charitable Trust to improve access to Type 1 diabetes care.
[01/2018]: One paper on probablity sampling using GIS/GPS technologies is published by Journal of Survey Statistics and Methodology.
[10/2017]: Grateful to receive a grant from UF Shands Quasi Endowment Fund, as the PI, to support our research on the data linkage between HealthStreet and UF Health Epic EHR.
[06/2017]: Grateful to receive a grant from American Heart Association, as the PI, to support our research on studying the total environment and hypertensive disorders of pregnancy.
[03/2017]: Excited to collaborate with Dr. Kelly Gurka and West Virginia University on a grant from CDC to perform policy evaluation on prescription drug overdose.
[12/2016]: Happy to successfully hold a series of meetups on health data science with PhD students in the department.
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Selected Honors and Awards

  • The Sandra A. Daugherty Award for Excellence in Cardiovascular Disease or Hypertension Epidemiology, American Heart Association, 2019
  • Insight Health Data Science Scholarship, Insight Data Science, 2016
  • ISEE Travel Award, International Society for Environmental Epidemiology, 2014
  • Outstanding Research Award, Univeristy of Florida, 2013

Background

I received my PhD from University of Florida co-mentored by Dr. Xiaohui Xu and Dr. Linda B. Cottler. I received my Bachelor degree from Fudan University. I was also a fellow in the Insight Health Data Science Program.