Welcome to the Kim lab in the Department of Computational Biology at Cornell University!

We develop theory and mathematical models to understand how evolutionary processes generate patterns of genetic and phenotypic variation. We also develop statistical inference methods to extract features of evolutionary forces from observed data.

In addition to answering fundamental questions in evolution, we apply these mechanistic understandings to solve important questions with biomedical, legal, and social implications using methods from mathematics, statistics, machine learning, game theory, and physics, combining principles of population genetics and evolutionary biology.

We are currently recruiting postdocs and students with a strong quantitative background! Please see Join for more info.