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Claire Donnat is an Assistant Professor in the Department of Statistics at the University of Chicago. She obtained her Master of Science in Applied Mathematics from the École Polytechnique in 2015 and completed her Ph.D. in Statistics at Stanford University in 2020, where she was advised by Professor Susan Holmes. Her research interests intersect Statistics and Machine Learning, with a particular focus on the statistical analysis of graphs and networks. She is especially interested in applying these methods to biomedical data, particularly in the field of neuroscience and brain connectomics. Since joining the University of Chicago, she has contributed to various projects that leverage statistical techniques to improve understanding of complex biological systems. Her prior academic experiences and educational background provide her with a solid foundation to explore new statistical methodologies and their applications.
Department of Philosophy