Justin Van Ee

Justin J. Van Ee

Postdoctoral Fellow | Statistics & Data Sciences | UT Austin

KO Illustration

Intro

Hello! I am a postdoctoral fellow in the Department of Statistics and Data Sciences at The University of Texas at Austin. My current research focuses on spatial and computational statistics with applications to fisheries data.

I received my PhD in Statistics from Colorado State University, co-advised by Mevin Hooten and Matthew Koslovsky. My dissertation focused on computationally efficient Bayesian approaches for joint modeling of eclectic data sources. A primary application was an integrated population model for lesser prairie-chicken combining aerial, ground, and telemetry surveys.

I completed a postdoctoral fellowship in the Department of Agricultural Biology at Colorado State University advised by Cynthia Brown and Mevin Hooten, collaborating with BromeCast to understand the evolution of cheatgrass under climate change.

Education

Colorado State University | Fort Collins, CO, USA

Ph.D. in Statistics (Thesis: Integrated Statistical Models in Ecology) | 2019 - 2023

University of Wisconsin-Parkside | Kenosha, WI, USA

B.S. in Mathematics & Environmental Studies | 2015 - 2019

Minors: Biology, Economics

Certificates: Green Chemistry, Geographic Information Systems

Recent News

New paper accepted in Methods in Ecology & Evolution:

  • Van Ee, J.J., et al. (In Press). Geometric overdispersion facilitates the integration of ecological data. Methods in Ecology & Evolution.

This Fall 2026, I will be joining the Department of Public Health Sciences at the University of Hawaiʻi at Mānoa as an Assistant Professor in Biostatistics!

New paper accepted in Methods in Ecology & Evolution:

New paper published in Nature Communications:

  • Gamba, D., et al., J.J. Van Ee. (2025). Local adaptation to climate facilitates a global invasion. Nature Communications, 16(1), 10203

New paper accepted in Bayesian Analysis:

  • Van Ee, J.J., et al. (In Press). Spatial knockoff Bayesian variable selection in genome-wide association studies. Bayesian Analysis.

New paper published in Methods in Ecology & Evolution:

  • Goel, N., et al., J.J. Van Ee. (2025). Identifying genomic adaptation to local climate using a mechanistic evolutionary model. Methods in Ecology & Evolution, 16(10), 2448-2460

New paper published in Ecology:

  • Vahsen, M.L., et al., J.J. Van Ee. (2025). Phenological sensitivity of Bromus tectorum genotypes depends on current and source environments. Ecology, 106(3), e70025.