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AMCS Seminar | A partial differential equation approach to studying phenotypic evolution in cancer cell populations

Start Date: February 15, 2017
End Date: February 15, 2017

By Dr.Tommaso Lorenzi (University of St Andrews, Scotland, UK)

Nonlocal partial differential equations constitute a convenient apparatus to study in silico the dynamics of populations structured by physiological traits. These equations can be derived from stochastic individual based models through suitable asymptotic limits, and raise interesting mathematical questions. This talk aims at showing how analysis and numerical simulation of such equations can help to uncover fresh insights into the critical mechanisms underpinning phenotypic evolution in cancer cell populations.

Biography: Dr. Tommaso Lorenzi obtained his Ph.D. in applied mathematics from the Politecnico di Torino in 2013. After a postdoc in the group of Benoît Perthame at the Université Pierre et Marie Curie and in the group of Laurent Desvillettes at the École Normale Supérieure de Cachan, Tommaso is currently a research fellow in the Mathematical Biology group led by Professor Mark Chaplain at the University of St Andrews. Combining numerical simulation of stochastic individual-based models with analysis and numerical simulation of partial differential equations, his research aims to understand how the interplay between variation, selection and evolution of individual traits is mirrored in the adaptive dynamics of structured populations.

More Information:

For more info contact: Visiting Assistance Prof. Alexander Lorz: email: alexander.lorz.1@kaust.edu.sa

Date: Wednesday 15th Feb 2017
Time: 01:00 PM - 02:30 PM
Location: Building 1, Level 4, Room 4214