Dr Michael Boemo

BA PhD
Dr Michael Boemo photograph
College positions
Fellow, College Lecturer in Mathematics for Biology, Director of Studies for Mathematical Biology
University positions
Assistant Professor of AI and Disease, Department of Pathology and Department of Genetics
Departmental homepage

Background

Dr Boemo's background is in Mathematics and Computer Science, but he has always worked in and around Biology laboratories since starting university. Originally from the USA, he completed a BA in Mathematics at Rutgers University. He then moved to the UK to complete his PhD in Physics at the University of Oxford under the supervision of Professor Andrew Turberfield (Oxford Physics) and Professor Luca Cardelli (Microsoft Research). He stayed at Oxford to do a postdoc at the Sir William Dunn School of Pathology and also held the Emanoel Lee Junior Research Fellowship in Medical Sciences at St Cross College. In 2019 he moved to the University of Cambridge and is now the Assistant Professor of AI and Disease with dual affiliation to the Department of Pathology and Department of Genetics.

Teaching

In the Natural Sciences Tripos, Dr Boemo lectures on Part IB mathematical and computational biology, Part II genetics, and Part III systems biology. He is also module organiser for cancer biology in Part II pathology as well as modelling in biology in Part III systems biology. At St John's College, he supervises for Part IA mathematical biology.

Publications

Totanes, F.I.G., Gockel, J., Chapman, S.E., Bartfai, R., Boemo, M.A.†, Merrick, C.J.† (2023) A genome-wide map of DNA replication at single-molecule resolution in the malaria parasite Plasmodium falciparum. Nucleic Acids Research.

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.

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.