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The University of Southampton
Mathematical Sciences
Phone:
(023) 8059 2438
Email:
P.S.Greulich@soton.ac.uk

Dr Philip Greulich 

Lecturer

Dr Philip Greulich's photo

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 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

Letters/Editorials

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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