Data Science Distinguished Seminar Series
Bonnie Berger, "Mathematics of Biomedical Data Science"
1:00 p.m. - 2:00 p.m., Masur Auditorium, Building 10 and NIH Videocast
The last two decades have seen an exponential increase in genomic and biomedical data, which are outstripping advances in computing power. Extracting new science from these massive datasets will require not only faster computers; it will require algorithms that scale sublinearly in the size of the datasets. We introduce a novel class of algorithms that are able to scale with the entropy and low fractal dimension of the dataset by taking advantage of the unique structure of massive biological data to operate directly on compressed data. These algorithms can be used to address large-scale challenges in genomics, metagenomics and chemogenomics.
About the Speaker
Bonnie Berger is the Simons Professor of Mathematics at MIT with a joint appointment in Computer Science. 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. She continues to lead efforts to design algorithms to gain biological insights from recent advances in automated data collection and the subsequent large data sets drawn from them. She has received numerous honors including: election to the American Academy of Arts and Sciences, the NIH Margaret Pittman Director’s Award for Outstanding Scientific Achievement & Lectureship, Biophysical Society's Dayhoff Award, Technology Review Magazine's inaugural TR100 as a top young innovator, ACM Fellow, ISCB Fellow, American Institute for Medical and Biological Engineering Fellow, NSF Career Award and Honorary Doctorate from EPFL. She over the last years has served as Vice President of ISCB, on the NIH NIGMS and NCBI Advisory Councils, and as Head of the Steering Committee for RECOMB.