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Students will learn advanced computational methods for inferring phylogenetic trees and studying macroevolutionary processes, including phylogenetic dating, coalescence, epidemic phylogeography, and estimation of ancestral traits and biogeography. Relevant skills in computation (BEAST, command-line programs, R) and statistics (Bayesian methods, model-based inference) will also be taught.

Students will learn advanced computational methods for inferring phylogenetic trees and studying macroevolutionary processes, including phylogenetic dating, coalescence, epidemic phylogeography, and estimation of ancestral traits and biogeography. Relevant skills in computation (BEAST, command-line programs, R) and statistics (Bayesian methods, model-based inference) will also be taught.

Students will learn advanced computational methods for inferring phylogenetic trees and studying macroevolutionary processes, including phylogenetic dating, coalescence, epidemic phylogeography, and estimation of ancestral traits and biogeography. Relevant skills in computation (BEAST, command-line programs, R) and statistics (Bayesian methods, model-based inference) will also be taught.

Students will learn advanced computational methods for inferring phylogenetic trees and studying macroevolutionary processes, including phylogenetic dating, coalescence, epidemic phylogeography, and estimation of ancestral traits and biogeography. Relevant skills in computation (BEAST, command-line programs, R) and statistics (Bayesian methods, model-based inference) will also be taught.

Students will learn advanced computational methods for inferring phylogenetic trees and studying macroevolutionary processes, including phylogenetic dating, coalescence, epidemic phylogeography, and estimation of ancestral traits and biogeography. Relevant skills in computation (BEAST, command-line programs, R) and statistics (Bayesian methods, model-based inference) will also be taught.