Dr Philip Greulich

Lecturer

Dr Philip Greulich is a Lecturer within Mathematical Sciences at the University of Southampton.

Career history

2016-present: Lecturer, University of Southampton
2015-2016: Postdoctoral Associate, University of Cambridge, UK
2013-2014: Postdoctoral Fellow, University of Cambridge, UK
2010-2012: Postdoctoral Fellow, University of Edinburgh, UK

Academic qualifications

2010: PhD in Theoretical Physics, Saarland University, Germany
2006: Diploma in Physics, University of Cologne, Germany

Research

Publications

Teaching

PhD opportunities

Contact

Research interests

My research is in mathematical modelling of biological systems. My current focus is on stochastic modelling of cell dynamics and interactions in multi-cellular environments. To understand the cellular dynamics (e.g. proliferation,differentiation, and mobility), I follow principles of statistical physics, analysing the collective behaviour of cells and resulting emergent phenomena such as pattern formation, ordering, and phase transitions. My approach is data-driven; by comparison of mathematical models and experimental data through Bayesian methods, I infer the underlying biological principles of multicellular systems in diseases, such as cell proliferation/differentiation in cancer and bacterial growth under antibiotic influence.

Particular research interests (modelling):

Stochastic stem cell population dynamics
Bacterial population dynamics
Antibiotic pharmacodynamics
Evolution of drug resistances
Intracellular transport by motor proteins
Actin and microtubule dynamics
Protein synthesis; traffic of ribosomes

Research group

Applied Mathematics and Theoretical Physics

Affiliate research group

Mathematics in Biology and Medicine

Research project(s)

Evolutionary Biology and Ecology

Mathematical Modelling

Molecular and Cellular Biology

Stochastic Processes in Biology

Do oriented divisions dictate fate decisions in mammary stem cells?

Mathematical/computational modelling of breast stem cell lineage data: exploring the dynamic contribution of asymmetric cell divisions to the identity of mammary stem cell progeny

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Articles

Book Chapter

Greulich, P. (2019). Mathematical modelling of clonal stem cell dynamics. In P. Cahan (Ed.), Computational Stem Cell Biology (pp. 107-129). (Methods in Molecular Biology; Vol. 1975). New York: Humana. DOI: 10.1007/978-1-4939-9224-9_5

Letters/Editorials

Greulich, P., & MacArthur, B. (2017). Systems biology of development and differentiation: Editorial overview. Current Opinion in Systems Biology, 5, vi-viii. DOI: 10.1016/j.coisb.2017.10.001
Greulich, P., Waclaw, B., & Allen, R. J. (2012). Mutational Pathway Determines Whether Drug Gradients Accelerate Evolution. Physical Review Letters, 109, 088101-1 to 088101-5.

Other University of Southampton sites

MATH1054 Academic Supervisor (Winter 2016/17)

Dr. Greulich is currently taking PhD students for projects in mathematical biology, related to cancer and stem cells (fully funded for 3 years).

Dr Philip Greulich
Building 54, Mathematical Sciences, University of Southampton, Highfield, Southampton SO17 1BJ

Room Number: 54/11003

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