This theme uses epidemiology, surveillance, bioinformatics and mathematical modelling to inform the fight against Antimicrobial Resistance (AMR). Specific research includes the use of modelling methodologies to understand the emergence and spread of AMR at the population level and how the introduction of vaccination may affect the prevalence of AMR, and also, the use of highly specialised techniques such as mass spectrometry to identify bacteria at the strain level.
Members of the intelligent use of data theme
Professor Paul Aylin
Professor Paul Aylin
Professor of Epidemiology and Public Health
Dr Gabriel Birgand
Dr Gabriel Birgand
ARC Early Research Fellow
Dr Caroline Colijn
Dr Caroline Colijn
Reader in Biomathematics
Dr Ceire Costelloe
Dr Ceire Costelloe
Career Development Fellow
Dr Pantelis Georgiou
Dr Pantelis Georgiou
Senior Lecturer
Professor Yi-Ke Guo
Professor Yi-Ke Guo
Professor of Computing Science
Myrsini Kaforou
Myrsini Kaforou
Research Associate
Dr Gwenan Knight
Dr Gwenan Knight
Career Development Fellow
Dr Guy-Bart Stan
Dr Guy-Bart Stan
Reader in Engineering Design for Synthetic Biology
Professor Zoltan Takats
Professor Zoltan Takats
Professor of Analytical Chemistry
Dr Reiko Tanaka
Dr Reiko Tanaka
Lecturer
Dr Jennifer Tweedy
Dr Jennifer Tweedy
Senior Lecturer