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Philip Greulich is an Associate Professor at the University of Southampton, specializing in mathematical modeling within biological systems. His research primarily focuses on understanding cell population dynamics and the interactions that occur in multicellular environments. Through his work, Philip employs dynamical models and stochastic processes to analyze the proliferation and differentiation of cells. His approach combines data-driven methodologies, including Bayesian methods, to connect theoretical models with experimental observations, elucidating the underlying biological principles governing multicellular systems. Philip's academic journey included completing a PhD jointly at the University of Cologne and the University of the Saarland, followed by postdoctoral research positions at the University of Edinburgh and the University of Cambridge. He actively engages in teaching, offering modules in mathematical biology and network dynamics, and contributes to various external roles such as examining PhD vivas and speaking at major conferences. His dedication to both education and research has been recognized through accolades such as the Blackboard VLE Award for learner support.
University of Edinburgh • Edinburgh
Worked in the School of Physics and Astronomy, focusing on mathematical modeling in biological contexts.
University of Cambridge • Cambridge
Contributed to research at the Cavendish Laboratory within applied mathematics and theoretical physics.
University of Southampton • Southampton
Teaching and conducting research in applied mathematics with a focus on biological systems.