Cameron Lack
Cameron graduated in 2022 with a PhD in Mathematics of Systems.
PhD
I am a PhD student in the Mathematics for Real-World Systems CDT currently writing my thesis. I have developed a mechanistic model of the early interactions between immune cells and tuberculosis bacteria and then used a novel data set to fit and validate the model. I then used the model to investigate and understand the dominant mechanisms involved. I am supervised by Matt Keeling of the Zeeman Institute at the University of Warwick and Ian Hall of the University of Manchester.
Web based transmission model
I recently completed a withdrawal from my PhD to work with Deirdre Hollingsworth and the NTD Modelling Consortium to add a Schistosomiasis model into the TRANSFIL framework already developed by Mike Irvine. We adapted the foundations of this previous work to allow the interface to be more flexible to additional models. The purpose of the work was to develop graphical user interface for non experts to be able to interact with mathematical models easily, but without the overhead of server side computation. A demo of the project can be viewed here (the model is no longer available online).
Groups
I am a member of the Epidemiology Research GroupLink opens in a new window. We meet once a week to discuss various problems and ideas originating from our personal research.
Background
- 2014 - 2015: MSc in Mathematics for Real-World Systems with Distinction, University of Warwick
- Group Project
Link opens in a new window: Predicting the Dynamics of Infections with Strong Dose-Dependent Responses - We presented a multi-scale model for intracellular bacterial infections that links the behaviour of within-host and between-host. We observed that dose dependence can translate across scales: the average number of secondary cases increases with the initial dose received. - Individual Project Link opens in a new window: Predicting the Within-Host Dynamics of Tuberculosis - Building on the group project we present a within-host model for tuberculosis infections, which directly models the bacterial load over the course of the infection. The model recreates the distribution of latent and active infections and maintains an accurate dose dependence.
- Group Project
- 2011 - 2014: MMath in Mathematics, University of Warwick
Conferences
- September 2019 - Infectious disease dynamics (IddConf), Ambleside
Talk title: "Mycobacterium tuberculosis vs. Alveolar macrophages, A model of early time interactions" - October 2018 - EpiRecipes Hackathon, Alan Turing Institute
- September 2018 - Infectious disease dynamics (IddConf), Ambleside
- July 2018 - European conference of mathematical and theoretical biology (ECMTB), Lisbon
Poster title: "Modelling interactions between macrophages and bacteria
in Mycobacterium tuberculosis infections." - November 2017 - Epidemics, Sitges
Poster title: "Modelling interactions between macrophages and bacteria
in Mycobacterium tuberculosis infections." - September 2017 - Zeeman Launch Event, Warwick.
Poster title: "Modelling interactions between macrophages and bacteria
in Mycobacterium tuberculosis infections." - September 2017 - Conference of Infectious Disease Dynamics, Ambleside.
Poster title: "Modelling interactions between macrophages and bacteria
in Mycobacterium tuberculosis infections." - April 2017 - Developing efficient methodologies for modelling stochastic dynamical systems in biology, Bath.
- January 2017 - Keystone Symposia on Molecular and Cellular Biology: New Developments in Our Basic Understanding of Tuberculosis, Vancouver.
Poster title: "Developing a multi-scale model of tuberculosis."
Thank you to INTEGRATE AMR for the generous funding. Click here for a summary of the conference.
