Michael Baym received his PhD in Mathematics from MIT and was a postdoctoral fellow at Harvard Medical School in Systems Biology. Baym's research is centered around the problem of antibiotic resistance, at the intersection of experimental, theoretical and computational techniques. His work ranges from understanding the basic mechanisms of evolution to the development of algorithms for computation on massive biological datasets.
DBMI Research Areas
The Separatrix Algorithm for synthesis and analysis of stochastic simulations with applications in disease modeling.
Compressive genomics for protein databases.
Authors: Daniels NM, Gallant A, Peng J, Cowen LJ, Baym M, Berger B.
Bioinformatics
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Bioinformatics
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Compressive genomics.
IsoBase: a database of functionally related proteins across PPI networks.
IsoRankN: spectral methods for global alignment of multiple protein networks.
Large-scale identification of genetic design strategies using local search.
Authors: Lun DS, Rockwell G, Guido NJ, Baym M, Kelner JA, Berger B, Galagan JE, Church GM.
Mol Syst Biol
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Mol Syst Biol
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Conserved quantities and adaptation to the edge of chaos.
