Peter Bonney

Peter Bonney is a Researcher in the Department of Veterinary and Biomedical Sciences at the University of Minnesota, where he contributes to the Secure Food Systems Team. He joined the team in 2014 as a Research Assistant during his M.S. studies in Industrial Engineering and continued as a Research Professional after degree completion.

His educational qualifications include a BA in Mathematics and German from Grinnell College and an MS in Industrial Engineering from the University of Minnesota Twin Cities.

Bonney's research centers on mathematical modeling of infectious diseases, with emphasis on outbreak dynamics and risk analysis for animal health threats. He develops quantitative frameworks for disease transmission assessment, surveillance optimization, and movement risk evaluation during epidemics, particularly focusing on zoonotic pathogens affecting food systems.

Analysis of his 18 research outputs reveals a consistent trajectory in epidemiological modeling for animal disease emergencies, with recent work (2022-2025) concentrating on African Swine Fever detection methodologies and Highly Pathogenic Avian Influenza outbreak reconstruction. His publications integrate stochastic simulation, spatial analysis, and risk-based decision support tools for disease control.

Bonney actively participates in USDA APHIS-funded initiatives:

• Predicting African Swine Fever detection in oral fluids (2024-2025)
• Advanced epidemiological analyses for high-consequence animal disease control (2024-2025)
• Risk assessment for duck egg movements during HPAI outbreaks (2023-2026)
• Quantitative management of transboundary animal disease emergencies (2020-2021)

As a core member of the Secure Food Systems Team, he provides critical quantitative support for proactive risk assessments related to live animal movements during disease outbreaks, directly informing national preparedness strategies.