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
Rapid construction of a whole-genome transposon insertion collection for Shewanella oneidensis by Knockout Sudoku.
Compounds that select against the tetracycline-resistance efflux pump.
Authors: Stone LK, Baym M, Lieberman TD, Chait R, Clardy J, Kishony R.
Nat Chem Biol
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Nat Chem Biol
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Spatiotemporal microbial evolution on antibiotic landscapes.
Authors: Baym M, Lieberman TD, Kelsic ED, Chait R, Gross R, Yelin I, Kishony R.
Science
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Science
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Multidrug evolutionary strategies to reverse antibiotic resistance.
Delayed commitment to evolutionary fate in antibiotic resistance fitness landscapes.
Authors: Palmer AC, Toprak E, Baym M, Kim S, Veres A, Bershtein S, Kishony R.
Nat Commun
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Nat Commun
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Inexpensive multiplexed library preparation for megabase-sized genomes.
Authors: Baym M, Kryazhimskiy S, Lieberman TD, Chung H, Desai MM, Kishony R.
PLoS One
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PLoS One
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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.
