Bonnie Berger, MIT, USA
Bonnie Berger

Many advances in modern biology revolve around automated data collection and the large resulting data sets. I am considered a pioneer in the area of bringing computer algorithms to the study of biological data, and a founder in this community that I have witnessed grow so profoundly over the last 20 years. I have made major contributions to many areas of computational biology and biomedicine, largely, though not exclusively through algorithmic insights, as demonstrated by ten thousand citations to my scientific papers and widely-used software. My research group works on diverse challenges, including and Computational Genomics, Structural Bioinformatics, High-throughput Technology Analysis and Design, Network Inference, and Data Privacy. We collaborate closely with biologists, MDs, and software engineers, implementing these new techniques in order to design experiments to maximally leverage the power of computation for biological exploration. Over the past five years I have been particularly active analyzing large and complex biological data sets; for example, my lab has played integral roles in modENCODE (non-coding RNA analysis), MPEG (biological data compression standard), and the Broad Institute’s sequence analysis efforts.

I continually and actively engage in community service, including recently as Vice President of International Society for Computational Biology, Head of the RECOMB Steering Committee, and member of the NIH NIGMS Advisory Council. I have served as both Proceedings and Conference Chairs for the two top conferences in my field— RECOMB and ISMB. I am also proud to have headed a workshop at ISMB 2016 on Gender Equality and been ISCB Fellows Chair (2015-2019), focusing on minority inclusion. I am an associate editor of Bioinformatics and IEEE/ACM TCBB journals. In addition, I serve on the Executive Editorial Board of Journal of Computational Biology and as member of the editorial boards of Annual Reviews for Biomedical Data Science, Genome Biology, Bioinformatics, IEEE/ACM TCBB, and Cell Systems.

Website: https://people.csail.mit.edu/bab/

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