Background and Research Interests

Bonnie Berger is a Professor of Applied Math and Computer Science at MIT, and 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, a Radcliffe Bunting Institute Science Scholarship 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 2003, was elected as a Fellow of the Association for Computing Machinery, and in 2010, received the RECOMB Test of Time Award. She recently was elected to the American Academy of Arts and Sciences, selected to give the Margaret Pittman Director's Lecture at the NIH, (Link to Dr. Berger's presentation, and was elected as a Fellow of International Society for Computational Biology. Currently serving as the Head of the steering committee of RECOMB, steering committee member of ISMB, and as the Vice President of the International Society for Computational Biology. In addition to having a joint appointment in Electrical Engineering and Computer Science at MIT, Professor Berger is an Associate Member of the Broad Institute, Faculty member of HST, and Affiliated Faculty of Harvard Medical School.