Year 1 timetable
This is your timetable for year 1. Optional modules are included for your information only and can be sorted using the tags. Added into here will be additional HetSys events that we would like you to attend where possible.
| Year 1 compatible modules: | CS909 | PX917 | PX918 | PX919 | PX923 | PX925 (assessment only) |
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Year 2 only modules: |
IL939 | PX920 | PX921 | PX449 | ES98E | MA934 | ES440 | MA4L0 |
For details of modules visit the module catalogue. To find out when modules are scheduled use this search facility or email hetsys@warwick.ac.uk.
WCPM: Louise Dyson, Warwick
Talk Title: Data-rich but time-poor: challenges in real-time pandemic modelling
Speaker: Louise Dyson
Abstract: At the height of the COVID-19 pandemic it was often necessary to develop situational understanding in the context of limited data, in order to give robust advice during an evolving situation. I will discuss the mathematical modelling the Warwick team did, how it was used to support decision making during the pandemic, and our current research, which aims to develop data-driven methods to signal epidemic transitions.
Bio: I am a Reader in Epidemiology appointed jointly between the School of Life Sciences and the Mathematics Institute. I am also a member of the Zeeman Institute (Systems Biology and Infectious Disease Epidemiology Research, SBIDER), a cross-departmental group bringing together researchers from different disciplines to better understand the biological world. My research interests involve using techniques from mathematics and statistical physics to analyse biological and epidemiological systems. I am particularly interested in work with strong experimental links and in discovering the simplest possible explanatory mechanisms for observed data. My Zeeman Institute webpage.
My recent work has largely focussed on mathematical modelling of COVID-19, feeding into the Scientific Advisory Group for Emergencies (SAGE) via the modelling subgroup, SPI-M-O and as part of the JUNIPER consortium. More on COVID-19 modelling can be found on the Zeeman Institute webpages and reports that were considered at SAGE can be found on the government webpages. My work particularly concentrated on modelling infection in schools and universities and assessing the spread of novel variants, as well as short and medium-term projections of infection dynamics.
More widely, I undertake modelling to support the eradication or elimination of Neglected Tropical Diseases (NTDs), particularly yaws (a bacterial infection that can cause lesions in the skin and bones and is primarily found in tropical areas). This work is in collaboration with Michael Marks at the London School for Hygiene and Tropical Medicine.
Moving away from epidemiology, my research interests also include the mathematical modelling of cellular migration and modelling of “noisy” dynamics, in which randomness plays an important role.