The Statistical Methods for Health Equity Series is a monthly online series co-hosted by the Data Science for Health Equity community, the Alan Turing Institute Health Equity Interest Group, and the Department of Statistical Science at University College London.

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We are excited to announce the next instalment of our webinar series with speaker Dr Rohini Mathur from Queen Mary University of London . 

Specific details on the topic are as below:

Topic: 

Big data insights and precision health approaches to address inequalities in chronic and infectious diseases

Abstract:

This talk will discuss a range of previous research projects which highlight how big data have been used to address health inequalities in the UK, improving vaccine impact, and contribute to precision public Health approaches for tackling inequalities in chronic and infectious diseases in diverse populations.

Speaker Biography:

Rohini Mathur is a Professor and Chair of Health Data Science at Queen Mary, University of London, specializing in the application of precision medicine approaches in globally diverse datasets to address health inequalities, particularly around cardiometabolic disease. Professor Mathur has active collaborations with colleagues across India, Singapore and Thailand. She was previously Associate Professor at LSHTM, where she worked on ethnic inequalities in the care and outcomes of type 2 diabetes, and was a member of the OpenSAFELY collaborative working on a range of COVID-19 related projects.

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Please direct any questions about the webinar series to Dr Brieuc Lehmann at b.lehmann@ucl.ac.uk.