Background and Research Interests
Bonnie Berger is the Simons Professor of Mathematics at MIT, 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. 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. She works on a diverse set of problems, including Network Inference, Protein Folding, Compressive Genomics, and Medical Genomics. Additionally, she collaborates closely with biologists in order to design experiments to maximally leverage the power of computation for biological explorations.
After beginning her career working in algorithms at MIT, she was one of the pioneer researchers in the area of computational molecular biology and, together with the many students she has mentored, has been instrumental in defining the field. Professor Berger has won numerous awards including a National Science Foundation Career Award and the Biophysical Society's Dayhoff Award for research. In 1999 Professor Berger was named one of Technology Review Magazine's inaugural TR100 as a top young innovator of the twenty-first century, in 2004, was elected as a Fellow of the Association for Computing Machinery, and in 2010, received the RECOMB Test of Time Award. She was recently elected to the American Academy of Arts and Sciences, received the Margaret Pittman Director's Award at the NIH, was elected as Fellow of both the International Society for Computational Biology (ISCB) and American Institute of Medical and Biological Engineering (AIMBE), and received an Honorary Doctorate from EPFL. She currently serves as Vice President of the ISCB and Head of the steering committee for RECOMB. In addition, Professor Berger is an Associate Member of the Broad Institute, Faculty member of Harvard/MIT Health Science & Technology, and Affiliated Faculty of Harvard Medical School.
Computational Biology in 21st Century: Communications of the ACM Cover
The August 2016 issue of Communications of the ACM highlighted our review article "Computational Biology in the 21st Century: Scaling with Compressive Algorithms" by Bonnie Berger, Noah M. Daniels, and Y. William Yu on the cover. Here, we highlight recent research that capitalizes on structural properties of biological data—low metric entropy and fractal dimension—to allow us to design algorithms that run in sublinear time and space. (published online on July 26, 2016)
March 16, 2016: Data Science @ Stanford