Mr Alastair Clements
Research Student - MPhil/PhD - Epidemiology & Population Health
United Kingdom
I am a third-year PhD student at the London School of Hygiene & Tropical Medicine and St George's University of London, funded by the Medical Research Council through their London Intercollegiate Doctoral Training Partnership (MRC LID) programme.
Prior to joining the school, I completed a Bachelor's degree in ‘Mathematical Sciences’ at King's College London (2018) and a Master's degree in ‘Mathematical Medicine and Biology’ at the University of Nottingham (2020).
Prior to joining the school, I completed a Bachelor's degree in ‘Mathematical Sciences’ at King's College London (2018) and a Master's degree in ‘Mathematical Medicine and Biology’ at the University of Nottingham (2020).
Affiliations
Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health
Teaching
I am currently tutoring on practical sessions for the 'Modelling and the Dynamics of Infectious Diseases' module (EPM302) at LSHTM.
I previously led tutorials for the Institute of Medical and Biomedical Education at St George's University of London on the second-year Life Control Case-based learning (M5 CBL) module and tutorials for the Department of Mathematics at King's College London on the modules 'Calculus I' (4CCM111A), 'Applied Differential Equations' (5CCM211A), and 'Mathematical Biology' (6CCMCS05/7CCMCS05).
I previously led tutorials for the Institute of Medical and Biomedical Education at St George's University of London on the second-year Life Control Case-based learning (M5 CBL) module and tutorials for the Department of Mathematics at King's College London on the modules 'Calculus I' (4CCM111A), 'Applied Differential Equations' (5CCM211A), and 'Mathematical Biology' (6CCMCS05/7CCMCS05).
Research
I am interested in the mathematical modelling of infectious diseases, particularly in the context of antimicrobial resistance (AMR). My PhD project is titled 'Mathematical Modelling for MRSA control: can we harness phage and antibiotics to halt resistance spread?' and aims to explore the dynamics of AMR spread in competing MRSA populations under the action of antibiotics and phage.
Research Area
AMR (Antimicrobial resistance)
Mathematical modelling
Microbiology
Antimicrobial agents
Disease and Health Conditions
Hospital acquired infection
Selected Publications
MIC distribution analysis identifies differences in AMR between population sub-groups.
2024
Wellcome open research
Quantifying patient- and hospital-level antimicrobial resistance dynamics in Staphylococcus aureus from routinely collected data.
2023
Journal of medical microbiology