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Her research interests include foundational questions in machine learning, applications of machine learning in the life sciences, and connections between machine learning and other disciplines such as economics, operations research, and psychology. More broadly, she is excited by research at the intersection of computer science, mathematics, and statistics, and its ability to turn data into actionable insights in both the natural and social sciences.
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International Journal for Research in Applied Science and Engineering Technologyno. 5 (2023): 4991-4996
NIPS'20: Proceedings of the 34th International Conference on Neural Information Processing Systemspp.16927-16936, (2020)
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Issue 2.3, Summer 2020Harvard Data Science Review (2020)
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