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This course explores the fundamental evolutionary processes that generate and maintain genetic variation in natural populations. Emphasizing practical applications, the course trains students to design and interpret analyses of population processes and demography, drawing examples from host-microbe and disease systems. Students will participate in lectures and guided computer labs using cloud-based phylogenetics and population genomics platforms for evolutionary inference, modeling, and estimation of key population genetic parameters across a broad range of organisms, with a focus on eukaryotic microbes, viruses, and bacteria. Students may analyze their own datasets or use instructor-provided datasets. The course emphasizes reproducible workflows and clear communication of results. No advanced computational background is required. Graduate students from across the life sciences and related fields are welcome.

Typically offered in Fall only