Benjamin McCormick

Dr. Benjamin McCormick is a Research Fellow at the School of Medicine, Medical Sciences and Nutrition at the University of Aberdeen, specializing in healthy and sustainable diet choices through statistical and computational modeling approaches.

His educational background includes a PhD in Zoology (2005) and a BSc in Biological Sciences (2002), both from the University of Oxford. His career trajectory shows a progression from ecological modeling to public health research, with significant experience working on child growth and development in low- and middle-income countries through the MAL-ED cohort study.

McCormick's research spans two primary domains:

• Current focus: Food system analysis, sustainable diets, meat consumption patterns, and the development of computer simulations to understand how subsidies align with food production in Scotland
• Prior focus: Child growth and development in resource-limited settings, enteropathogen infection, environmental enteropathy, and cognitive development patterns

His work bridges ecological principles with public health applications, particularly in understanding how research translates into policy.

His recent publication trends (2021-2025) show a clear shift toward sustainable diet research, with numerous reports and articles examining meat consumption behaviors, public attitudes toward sustainable diets, and large-scale modeling of Scottish farming systems. These works consistently apply his expertise in statistical and computational modeling to analyze complex food systems and dietary behaviors.

McCormick has collaborated extensively with international research teams, particularly through the MAL-ED study consortium, and has maintained connections with US institutions including Johns Hopkins University, University of Virginia, and Penn State through consultancy work.

His methodological expertise includes longitudinal data analysis, Bayesian network modeling, and the application of ecological principles to human health systems. He has demonstrated particular skill in translating complex systems into computational models that can inform policy decisions.