BioMaths Colloquium Series - 2017/18
15 June 2018 - 3pm Maths Seminar Room
(room 224 Talbot Building 2nd floor)
Partial differential equation models of evolutionary and spatial dynamics of cancer cell populations
Dr Tommaso Lorenzi
(School of Mathematics and Statistics, University of St Andrews, UK)
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| from: Lorenzi et al. (2016) |
Our BioMaths Colloquium Series continues with a seminar by Dr Tommaso Lorenzi, from the School of Mathematics and Statistics at the University of St Andrews (UK).
Tommaso is a Research fellow in Applied Mathematics, broadly
interested in Mathematical Biology, in particular using deterministic models (partial differential equations (PDEs), integro-differential equations (IDEs), and corresponding stochastic individual-based (IB) models). Tommaso collaborates widely with cell biologists, immunologists and evolutionary biologists, addressing questions about the growth and evolution of tumour cells, spatial evolutionary games, and the dynamics of structured populations.
Abstract
Abstract
A growing body of research indicates that mathematical modelling can complement experimental cancer research by offering alternative means of interpreting experimental data and by enabling extrapolation beyond empirical observation. This talk deals with mathematical models formulated in terms of nonlinear partial differential equations which can be used to study evolutionary and spatial dynamics of cancer cell populations. I will present a number of results which illustrate how analysis and numerical simulation of these equations can help to uncover fresh insights into the critical mechanisms underpinning tumour progression and the emergence of resistance to cytotoxic therapy.
The discussions will continue over biscuits and tea/coffee after the seminar.
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