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Dr Michael Boemo

Dr Michael Boemo

Research Group Leader

Division of Cellular and Molecular Pathology

Research Interests

I am interested in developing new computational methods and software to study how the dysregulation or faults in cell cycle mechanisms can lead to genome instability and cancer.  A selection of recent and ongoing projects are:

  • machine learning software called DNAscent that infers replication fork movement on individual molecules from Oxford Nanopore sequencing data,
  • mathematical modelling of centriole growth and regulation,
  • development of the Beacon Calculus, a process algebra for the simulation of biological systems,
  • software that analyses the copy number variations in cancer genomes to infer disrupted cell cycle mechanisms.

This research lies at the interface of biology and computer science, and employs methods from machine learning, software verification, bioinformatics, and computational modelling.

Research Supervision

There are PhD and postdoctoral opportunities available.  Please see for details on how to apply.

Key Publications

Aydogan, M.G.*†, Steinacker, T.L.*, Mofatteh, M., Wilmott, Z.M., Zhou, F.Y., Gartenmann, L., Wainman, A., Saurya, S., Novak, Z.A., Wong, S., Goriely, A., Boemo, M.A., Raff, J.W. (2020) A free-running oscillator times and executes centriole biogenesis. Cell 181:1-16.

Boemo, M.A.†, Cardelli, L., Nieduszynski, C.A. (2020) The Beacon Calculus: A formal method for the flexible and concise modelling of biological systems. PLoS Computational Biology 16:e1007651. 

Mueller, C.A.*, Boemo, M.A.*, Spingardi, P., Kessler, B. Kriaucionis, S. Simpson, J.T., Nieduszynski, C.A.† (2019) Capturing the dynamics of genome replication on individual ultra-long nanopore sequencing reads.  Nature Methods 16:429-436. [bioRxivDOI:10.1038/s41592-019-0394-y

Boemo, M.A.†, Byrne, H.M.† (2018) Mathematical modelling of a hypoxia-regulated oncolytic virus delivered by tumour-associated macrophages. Journal of Theoretical Biology 461:102-116. 

Boemo, M.A., Lucas, A.E., Turberfield, A.J.†, Cardelli, L.† (2016) The formal language and design principles of autonomous DNA walker circuits. ACS Synthetic Biology 5:878-884.