Data Science and Identifying COVID-19 Risk Factors
Dr Daniel Wilson summarises how data science has been used during the COVID-19 pandemic, spanning vaccine design, clinical trials, surveillance and policy advice, and highlighting the identification of risk factors for disease.

Danny will discuss his research group’s work in the COVID-19 Host Genetics Initiative, which has identified dozens of genes involved in the risk of catching SARS-CoV-2 and suffering severe COVID-19, and his collaborations with Public Health England and UK Biobank, one of the world’s largest cohorts for biomedical research, who contributed the raw data that powered such insights.

This free lecture is part of the Rewley House Lecture Series and is designed for researchers from all disciplines and members of the public.

This event will take place at Rewley House, Oxford, and will be livestreamed using Microsoft Teams ​for those who are unable to attend in person.

For those attending in person:
Rewley House
1 Wellington Square
Oxford
Oxfordshire
OX1 2JA
Date: 17 May 2022, 16:30
Venue: Rewley House and livestreamed via Teams
Speaker: Dr Daniel Wilson (University of Oxford, Department for Continuing Education)
Organising department: Department for Continuing Education
Organiser contact email address: researchsupport@conted.ox.ac.uk
Part of: Rewley House Lecture Series
Booking required?: Required
Booking url: https://www.conted.ox.ac.uk/rewley-house-lecture-series
Cost: Free
Audience: Public
Editors: Mary Ayres, Stacie Cullen