Rebecca Willett

Rebecca Willett is an American statistician and computer scientist whose research involves machine learning, signal processing, and data science. She is a professor of statistics and computer science at the University of Chicago.[1]

Willett has a Ph.D. in electrical and computer engineering from Rice University, completed in 2005. She worked as a faculty member in electrical and computer engineering at Duke University from 2005 until 2013, when she moved to the University of Wisconsin–Madison.[1] She moved again to the University of Chicago in 2018.[2]

Her research has included machine learning methods for the analysis of corn crop quality,[3] and weather patterns.[4] She was named a SIAM Fellow in the 2021 class of fellows, "for contributions to mathematical foundations of machine learning, large-scale data science, and computational imaging",[5] and an IEEE Fellow in 2022 "for contributions to the foundations of computational imaging and large-scale data science".[6] In 2022, she was elected Vice Chair of the Society for Industrial and Applied Mathematics Activity Group on Imaging Science (SIAM SIAG/IS).[7]

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  7. ^ "SIAM Activity Groups Election Results". SIAM News. Retrieved 2022-05-28.