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. She has won numerous awards and honors including: member of the American Academy of Arts and Sciences, the NIH Margaret Pittman Director's Lecture Award, Biophysical Society's Dayhoff Award, inclusion in Technology Review Magazine's inaugural TR100 as a top young innovator, ACM Fellow, ISCB Fellow, RECOMB Test of Time Award, NSF Career Award, and, recently, Honorary Doctorate from EPFL. She currently serves as Vice President of ISCB, as Head of the steering committee for RECOMB, and  was elected to be a Fellow of the AIMBE.

March 16, 2016: Data Science @ Stanford