About
Dr Philip Greulich is a theoretical physicist by training who is intrigued by understanding the deep truths about biology through the means of mathematical modelling and theoretical insights. Philip believes that biological phenomena, albeit incredibly complex, can be understood, at least to some extent, by simple fundamental universality laws.
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Research
Research interests
- Mathematical modelling of stem cell fate choices
- Universal features of cell lineages
- Cell population dynamics
- Positive dynamical systems
- Stochastic processes in biology
Current research
Philip's research is in mathematical modelling of biological systems. His current focus is on modelling of cell population dynamics and interactions in multi-cellular environments. To understand those dynamics (e.g. proliferation and differentiation of cells), Philip uses dynamical models and stochastic processes.
His approach is data-driven; by comparison of mathematical models with experimental data through Bayesian methods, he infers the underlying biological principles of multicellular systems such as cell proliferation/differentiation in biological tissues and bacterial growth under antibiotic influence.
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Research groups
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Research interests
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Current research
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Publications
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Supervision
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Teaching
Philip teaches on the following modules:
MATH3090/6140 "Structure and Dynamics of Networks" in Semester 1
MATH3052 "Mathematical Biology" in Semester 2
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Courses and modules
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External roles and responsibilities
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Biography
2010: PhD at University of Cologne and University of the Saarland
2010 - 2012: Postdoctoral Research Associate at University of Edinburgh (School of Physics and Astronomy)
2013 - 2016: Postdoctoral Research Associate at University of Cambridge (Cavendish Lab)
since Sep 2016: Lecturer in Applied Mathematics at University Southampton
Prizes
- Blackboard VLE Award: Best Learner Support (2022)
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Prizes
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