I am an applied statistician with a focus on multivariate biological data and nonlinear relationships among variables. My research integrates statistical modeling to investigate complex datasets—including microbiome, metabolomics, and ecological data—and to develop innovative analytical approaches for animal production systems. I am particularly interested in temporal dynamics, with an emphasis on quantifying and forecasting system-level changes over time.
I teach the introductory course Animals and Data in applied data science and statistics within the bachelors in Animal Science program. I also contribute to other courses across the Animal Science and Veterinary Medicine curricula that involve statistical and data science applications. In addition, I teach PhD-level courses in applied statistics, including topics such as generalized additive models, multivariate analysis, and hierarchical modeling.
