Nathan Bollig is a Research Data Scientist at the National Wildlife Health Center.
The focus of my research is developing computational methods to better understand and predict infectious disease dynamics in animals, including at the interface of wildlife and human health. I am interested in motivating specialized advances in the state-of-the-art of machine learning and artificial intelligence while addressing key epidemiological problems, such as pandemic prevention.
Professional Experience
2022 – Present, Research Data Scientist, U.S. Geological Survey, National Wildlife Health Center, Madison, WI
2020 – 2022, Contracted to perform software engineering, in support of the U.S. Geological Survey, National Wildlife Health Center, Madison, WI
2018 – 2019, Computer Vision & Machine Learning Engineer, Department of Medical Sciences, School of Veterinary Medicine, University of Wisconsin – Madison
2015 – 2016, Technical Services (Operating Room and Anesthesia), Epic Systems Corporation, Verona, WI
Education and Certifications
Postdoctoral Fellow, Computation & Informatics in Biology & Medicine, University of Wisconsin – Madison, 2019 – 2022
M.S. Computer Sciences, University of Wisconsin – Madison, 2020
Doctor of Veterinary Medicine, University of Wisconsin – Madison, 2019
B.S. Mathematics and Zoology, University of Wisconsin – Madison, 2012
Affiliations and Memberships*
President-Elect, Association for Veterinary Informatics
Member of American Veterinary Medical Association
Member of Wisconsin Veterinary Medical Association
Member of The Wildlife Society
Science and Products
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government