Ian Buller, PhD, MA

Ian Buller, PhD, MA

Epidemiologist

DLH, LLC

Disclaimer: All content is my own and does not represent my employer

I am an Epidemiologist within Public Health & Scientific Research at DLH, LLC (formerly known as Social and Scientific Systems, Inc.), focusing on the (geo)spatial and environmental epidemiology of various health outcomes, including cancer and infectious disease.

I was a Postdoctoral Cancer Prevention Fellow in the Cancer Prevention Fellowship Program at the National Cancer Institute (Preceptor: Rena Jones, PhD, MS) working within the Occupational and Enviornmental Epidemiology Branch of the Division of Cancer Epidemiology and Genetics, part of the Intramural Research Program at the National Institutes of Health. I received a PhD in Environmental Health Sciences at Emory University (Advisor: Lance Waller, PhD) after completing a concurrent BA/MA in Ecology and Evolutionary Biology from the University of Colorado at Boulder (Advisor: Pieter Johnson, PhD).

My research is published in (the):

Interests

  • Climate & Health
  • (Geo)spatial Statistics
  • Environmental Epidemiology
  • Cancer Etiology
  • Infectious Disease Ecology & Surveillance
  • Open-Source Software Development

Education

  • PhD in Environmental Health Sciences, 2019

    Emory University

  • BA/MA in Ecology and Evolutionary Biology, 2013

    University of Colorado at Boulder

Recent Posts

American Geophysical Union 2025 Annual Meeting

I presented a poster at the American Geophysical Union 2025 Annual Meeting entitled “Temporal clustering of air pollution and heat wave events at domestic U.S. Military facilities.” I presented initial results comparing three statistical approaches (supervised and unsupervised machine learning approaches) to evaluate the potential relationship between heat and air pollution wave events at U.

NIH Research Festival 2025

I co-instructed a workshop at the NIH Research Festival 2025 entitled “Geospatial for Everyone: Enhancing Your “Non-spatial” Research with Geospatial Data” with Dr. Nathaniel MacNell. In our workshop, we presented an interactive open-source workflow of geographically linking publicly available data to simulated locations and demonstrated how these data can be used for clinical study design and analysis.

Military Health System Research Symposium 2025

I presented a poster at the Military Health System Research Symposium 2025 entitled “Open-source estimation of shade availability at military bases in the United States.” I presented an initial workflow of estimating the shadow footprint (shade) of obstacles on United States (US) Military facilities using the US Naval Academy campus as an example.