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  1. Bonnie Berger is the Simons Professor of Mathematics at MIT and serves as head of Computation and Biology group at MIT's Computer Science and AI Lab. Her recent work focuses on designing algorithms to gain biological insights from advances in automated data collection and the subsequent large data sets drawn from them.

    • Bonnie Berger

      Bonnie Berger is a Professor of Applied Mathematics at the...

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      Bonnie Berger is the Simons Professor of Mathematics at MIT...

  2. Bonnie Anne Berger (born 1964 or 1965) is an American mathematician and computer scientist, who works as the Simons professor of mathematics and professor of electrical engineering and computer science at the Massachusetts Institute of Technology.

  3. www.csail.mit.edu › person › bonnie-bergerBonnie Berger | MIT CSAIL

    24 de abr. de 2020 · Bonnie Berger is a Professor of Applied Mathematics at the Massachusetts Institute of Technology ( MIT ), with a joint appointment in Computer Science in EECS. She is also head of the Computation and Biology group and member of the Theory of Computation group at the MIT Computer Science and Artificial Intelligence Laboratory ( CSAIL ).

  4. Bonnie Berger is the Simons Professor of Mathematics at MIT as of July 2016, holds a joint appointment in Electrical Engineering and Computer Science, and serves as head of the Computation and Biology group at MIT's Computer Science and AI Lab.

  5. Professor Bonnie Berger is the Simons Professor of Mathematics and an Associate Member of the Broad Institute. After beginning her career working in algorithms at MIT, she was one of the pioneer researchers in computational biology and, together with the many students she has mentored, has been instrumental in defining the field.

  6. Global alignment of multiple protein interaction networks with application to functional orthology detection. R Singh, J Xu, B Berger. Proceedings of the National Academy of Sciences 105 (35),...

  7. As head of the MIT Computation and Biology Group, Bonnie designs algorithms that can predict the shapes of folded proteins. The tools that she and her students build have relevance to urgent biological challenges, such as cracking the shell of the AIDS virus.