Michael Baym, PhD

Michael Baym, PhD

Associate Professor of Biomedical Informatics
10 Shattuck Street #303, Boston, MA 02115
Baym Lab

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
Engineered bacteria can function in the mammalian gut long-term as live diagnostics of inflammation.
Authors: Riglar DT, Giessen TW, Baym M, Kerns SJ, Niederhuber MJ, Bronson RT, Kotula JW, Gerber GK, Way JC, Silver PA.
Nat Biotechnol
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Barcode extension for analysis and reconstruction of structures.
Authors: Myhrvold C, Baym M, Hanikel N, Ong LL, Gootenberg JS, Yin P.
Nat Commun
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Rapid construction of a whole-genome transposon insertion collection for Shewanella oneidensis by Knockout Sudoku.
Authors: Baym M, Shaket L, Anzai IA, Adesina O, Barstow B.
Nat Commun
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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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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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Multidrug evolutionary strategies to reverse antibiotic resistance.
Authors: Baym M, Stone LK, Kishony R.
Science
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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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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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The Separatrix Algorithm for synthesis and analysis of stochastic simulations with applications in disease modeling.
Authors: Klein DJ, Baym M, Eckhoff P.
PLoS One
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Compressive genomics for protein databases.
Authors: Daniels NM, Gallant A, Peng J, Cowen LJ, Baym M, Berger B.
Bioinformatics
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