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Anna is a Research Data Scientist at the University of Chicago’s Data Science Institute. Her recent work develops methodologies in machine learning for applied problems in medicine, with a particular emphasis on using unsupervised learning of representations to understand image content and structure. She is applying these methods to problems related to understanding and predicting cancer risk, designing personalized cancer screening policies, and designing clinical trials to evaluate AI systems. Previously, Anna served as a postdoctoral fellow at the Data Science Institute, where she was affiliated with the groups of Michael Maire in Computer Science and Olufunmilayo Olopade in the Department of Medicine. She earned her PhD in Physics from the University of Notre Dame, where Kevin Lannon advised her.