Talk on AI and infectious disease modelling

Title

AI and infectious disease modelling

 

Abstract

As the world recovers from the COVID-19 pandemic, the constant threat of the next one looms large. Mathematical and statistical modeling have always been integral in understanding infection dynamics and control. In this talk, I will outline some of the major approaches used and highlight where AI can yield new breakthroughs. Drawing from my involvement in various health emergencies throughout my career, I will provide a personal perspective based on my own research. My goal for this lecture is for you to gain an understanding of the main areas in infectious disease modeling, recognize some of the challenges, and share in the excitement of where the field might go.

 

Bio

Samir Bhatt is a Professor of Machine Learning and Public Health at the University of Copenhagen, Denmark, and a Professor of Statistics and Public Health at Imperial College London, UK. His research focuses on ways to harness the potential of mathematics, statistics, and machine learning to tackle and advance public health questions. Prof Bhatt completed his first degree, in Chemical and Bioprocess Engineering, at the University of Bath, UK, before continuing to study for a MPhil at the University of Cambridge and a DPhil at the University of Oxford. His DPhil work focused on Statistical Genetics. Prof Bhatt currently splits his time between the UK and Denmark, and lives in Copenhagen.