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The Kim Lab at Cornell University focuses on the development of theoretical mathematical models aimed at understanding evolutionary processes and generating patterns of genetic and phenotypic variation. We emphasize the creation of statistical inference methods to extract features from the evolutionary forces present in observed data. Beyond addressing fundamental questions in evolution, our lab applies mechanistic understandings to tackle significant biomedical, legal, and social issues using techniques rooted in mathematics, statistics, machine learning, game theory, and physics. We integrate principles from population genetics and evolutionary biology to explore a wide array of questions. The lab is actively recruiting postdoctoral researchers and students with a strong quantitative background.
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