Michael Boemo

Michael Boemo

BBSRC Post-doc

Emanoel Lee Junior Research Fellow, St. Cross College.

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Michael is interested in developing software and methods in computer science that apply to biological systems.  A main topic of interest is  writing software that infers DNA replication dynamics on single molecules from nanopore reads.  Another is creating a process algebra language that makes it quick and simple to simulate complex, multiscale behaviour in biology.  Michael did his PhD in condensed matter physics at the University of Oxford under the supervision of Andrew Turberfield and Luca Cardelli.  He is originally from New Jersey, USA and hobbies include cycling and photography.

  1. Müller, CA, Boemo, MA, Spingardi, P, Kessler, BM, Kriaucionis, S, Simpson, JT, Nieduszynski, CA. Capturing the dynamics of genome replication on individual ultra-long nanopore sequence reads. Nat. Methods. 2019;16 (5):429-436. doi: 10.1038/s41592-019-0394-y. PubMed PMID:31011185 .
  2. Boemo, MA, Byrne, HM. Mathematical modelling of a hypoxia-regulated oncolytic virus delivered by tumour-associated macrophages. J. Theor. Biol. 2019;461 :102-116. doi: 10.1016/j.jtbi.2018.10.044. PubMed PMID:30359572 PubMed Central PMC6269600.
  3. Boemo, MA, Lucas, AE, Turberfield, AJ, Cardelli, L. The Formal Language and Design Principles of Autonomous DNA Walker Circuits. ACS Synth Biol. 2016;5 (8):878-84. doi: 10.1021/acssynbio.5b00275. PubMed PMID:27114350 .
  4. Wagh, K, Bhatia, A, Alexe, G, Reddy, A, Ravikumar, V, Seiler, M, Boemo, M, Yao, M, Cronk, L, Naqvi, A, Ganesan, S, Levine, AJ, Bhanot, G. Lactase persistence and lipid pathway selection in the Maasai. PLoS ONE. 2012;7 (9):e44751. doi: 10.1371/journal.pone.0044751. PubMed PMID:23028602 PubMed Central PMC3461017.
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