Speaker
Description
Particle physics simulations and modelling of infectious diseases in a pandemic share computational challenges due to their heavy Monte Carlo models. Both types of models need to fit large numbers of parameters to data, making the calibration process time-consuming.
In particle physics, we use the GAMBIT software to compare Beyond Standard Model theories to data from experiments. In this cross-disciplinary project, we will use GAMBIT to calibrate infectious disease models of the covid-19 pandemic to real-world data.
In this presentation, I will give a brief introduction to GAMBIT-light, a light-weight GAMBIT interface, and an overview of infectious disease modelling, before I describe the ongoing project where we utilise GAMBIT to calibrate a model of the covid-19 pandemic.
