Bonnie Berger is 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.
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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 ACM,
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,
(Here's a link to Dr. Berger's
presentation,
http://1.usa.gov/Vji98a)
and was elected as a
Fellow of ISCB. She currently serves on the steering committees of
RECOMB and ISMB. Professor Berger is also an Associate Member of the
Broad Institute, an Affiliate Member of Harvard/MIT Division of
Health Science and Technology and Fellow, International Society for
Computational Biology. |