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Cecile Ane is a Professor in the Department of Statistics and the Department of Botany at the University of Wisconsin–Madison. Her primary research interests encompass statistical inference, molecular evolution, and trait evolution. She employs graphical models that utilize stochastic processes, including discrete Markov processes and continuous diffusions. In her work, she focuses on developing tools for model selection and Bayesian inference, ensuring that new models are sufficiently realistic while remaining computationally feasible in the era of Big Data. Additionally, she has a strong interest in various biological applications and offers statistical consulting on campus, engaging with disciplines such as ecology, food science, and veterinary science.
Department: Department of Computer Sciences