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Andrew Kern is an academic expert in population genetics, evolutionary biology, machine learning, computational biology, and genomics. His research combines modern machine learning methods with classical probabilistic approaches and large-scale simulation to gain insight into population genetic and evolutionary biological questions. His lab focuses on methods development, creating new tools that empower the field to gain insights that weren’t attainable previously. One fundamental thread that has run through his entire research career is understanding the impact of natural selection on genetic variation in natural populations including models such as humans, mosquitos, and fruit flies as well as non-model systems such as barnacles and octopuses.