Alex Capaldi

Alex Capaldi is an Associate Professor in the Department of Mathematics & Statistics at James Madison University. His research focuses on applying mathematical and statistical modeling, computer simulations, and data science to conservation biology, ecology, and evolutionary biology. He joined JMU in 2023.

Capaldi holds the following academic degrees:

• Ph.D. in Applied Mathematics, North Carolina State University, 2010
• MS in Applied Mathematics, North Carolina State University, 2008
• MA in Operations Research, North Carolina State University, 2006
• BS in Applied Mathematics & BA in Chemistry, Ferris State University, 2004

His research interests emphasize the development and application of agent-based models to address ecological and conservation challenges. This includes modeling species reintroduction strategies, disease dynamics in wildlife populations, and evolutionary processes. His work often integrates computational methods to explore complex systems such as plant reproductive strategies, domestication of animals, and prehistoric ecological interactions.

In his publications, Capaldi has explored topics such as predicting endangered species recovery, modeling vaccination strategies for wildlife diseases, and simulating anthropogenic impacts on megafauna. Recent work includes agent-based models analyzing the reintroduction of the passenger pigeon and prehistoric domestication processes. Earlier research addressed disease spread in metapopulations and parameter estimation in epidemiological models. His work bridges mathematical theory with practical ecological applications, contributing to both academic understanding and conservation policy.

No scientific awards or fellowships are listed in the provided materials. Details about his advising activities or grants are not specified here, though his research collaborations suggest active engagement in academic networks. Further information can be found on his website: https://sites.google.com/view/alex-capaldi.

He is affiliated with the Department of Mathematics & Statistics and contributes to interdisciplinary research at JMU. His work often involves collaborations across biology, computer science, and statistics to tackle real-world ecological problems.