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Karianne Bergen is an Assistant Professor in the Department of Data Science and the Department of Earth, Environmental, and Planetary Sciences at Brown University. Her research focuses on scientific machine learning (SciML), with a particular emphasis on pattern recognition and data analysis of large, complex sensor datasets. Her work includes applications in earthquake seismology and biodefense. Currently, her research group is investigating machine learning-based surrogate models for data enhancement, explainable AI for scientific data, and the development of scientific foundation models. She holds a Sc.B. in Applied Mathematics from Brown University, and both an M.Sc. and a Ph.D. from Stanford University. Additionally, she completed her postdoctoral training in Computer Science at Harvard University's Data Science Initiative. Before joining Brown, she worked as a data scientist at MIT Lincoln Laboratory.
MIT Lincoln Laboratory • Cambridge, MA
Conducted research and development in data science.
Harvard University, Data Science Initiative • Cambridge, MA
Focused on scientific machine learning and data science.
Department: Department of Economics