Matthew Asker
- Email: mmmwa@leeds.ac.uk
- Thesis title: Evolution of Populations in Fluctuating Environments
- Supervisors: Professor Mauro Mobilia, Professor Alastair M. Rucklidge
Profile
From October 2021, I have been working towards obtaining my EPSRC funded PhD in Applied Mathematics titled “Evolution of Populations in Fluctuating Environments”, part of the larger EPSRC-NSF funded project “Eco-Evolutionary Dynamics of Fluctuating Populations”. Prior to this, I completed my undergraduate master’s degree in Theoretical Physics at the University of Manchester where my master’s thesis investigated the use of modified percolation in modelling the spread of COVID-19.
In my current research, I am considering the interplay between ecological and evolutionary processes in well-mixed populations of bacteria, and hope to unveil some mechanisms for the promotion of co-operation as a strategy in these systems. These findings are relevant to the global issue of antimicrobial resistance (AMR), and so could have implications for the clinical use of antimicrobials.
Research interests
- Mathematical Biology & Ecology
- Evolutionary and Population Dynamics
- Complex Systems
Qualifications
- MPhys Physics with Theoretical Physics, University of Manchester
Research groups and institutes
- Mathematical Biology and Medicine
- Applied Mathematics
- Applied Nonlinear Dynamics
- Complex Systems and Processes