Justin Van Ee, PhD

Assistant Professor

vaneej@hawaii.edu | (808) 956-2062 | Biomed C-105CA

Epidemiology

Health Policy & Management

Academic Degrees

  • PhD (Statistics), Colorado State University
  • BS (Mathematics and Environmental Studies) Minors (Biology and Economics), University of Wisconsin – Parkside

Courses Taught

View Curriculum Vitae

Justin J. Van Ee is a biostatistician whose research focuses on data integration, statistical genomics, computational statistics, and spatiotemporal modeling. His work develops new statistical methodology motivated by applications in epidemiology, ecology, and environmental science, including estimating the abundance of federally protected species, predicting the spread of invasive species, and mapping species distributions across large spatial scales. Additional information about current projects, publications, and recent news is available on Dr. Van Ee’s website.

Selected Publications

Van Ee, J.J., D. Gamba, J.R. Lasky, M.L. Vahsen, & M.B. Hooten. (2025). Spatial knockoff Bayesian variable selection in genome-wide association studies. Bayesian Analysis.

Gamba, D., M.L. Vahsen, T.M. Maxwell, N. Pirtel, S. Romero, Van Ee, J.J., … & J.R. Lasky. (2025). Local adaptation to climate facilitates a global invasion. Nature Communications, 16, 10203.

Van Ee, J.J., C.A. Hagen, D.C. Pavlacky Jr., D.A. Haukos, A.J. Lawrence, A.M. Tanner, B.A. Grisham, K.A. Fricke, L.G. Rossi, G.M. Beauprez, K.E. Kuklinski, R. Martin, T.B. Rintz, M.D. Koslovsky, & M.B. Hooten. (2024). Melded integrated population models. Journal of Agricultural, Biological, and Environmental Statistics, 30, 769–799.

Van Ee, J.J., C.A. Hagen, D.C. Pavlacky Jr., K.A. Fricke, M.D. Koslovsky, & M.B. Hooten. (2023). Melding wildlife surveys to improve conservation inference. Biometrics, 79(4), 3941–3953.

Justin Van Ee headshot