UCL Institute of Health Informatics

Prof Robert Aldridge

Prof Robert Aldridge

Professor of Public Health Data Science

Institute of Health Informatics

Faculty of Pop Health Sciences

Joined UCL
1st Mar 2011

Research summary

Rob's research aims to equitably improve the health of the public through the application of data science and public health research. The research group he leads in Public Health Data Science works towards this aim by using complex health data and digital interventions to equitably improve health. The research group consists of clinicians, computer scientists, epidemiologists, engineers, data scientists, anthropologists and public health experts. The group conducts its research in a transdisciplinary manner and co-produces it with policy makers and experts by experience. 

A focus of Rob's work relates to making invisible populations visible by using data to understand the health needs of people experiencing homelessness, substance use, imprisonment or migration. To undertake this work Rob has validated methods to link and analyse large health and social care datasets to evaluate public health interventions targeted at these invisible populations. 

Recently, Rob has been working on Coronavirus. He is the Chief Investigator for the Virus Watch health equity study, and has undertaken a range of analyses to inform the public health response to the pandemic. These analyses include examining the seasonality and immunity to laboratory-confirmed seasonal coronaviruses; producing early estimates of the increased risk of death from COVID-19 in Black, Asian and Minority Ethnic groups in England; establishing the evidence for automated contact tracing mobile apps; investigating household transmission of seasonal coronavirus infections; and evaluating the impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates.

Teaching summary

Rob led the development of a new MSc module in Public Health Data Science at the Institute of Health Informatics, UCL. This module introduces students to tools and methods used in data science (including computer science, mathematics, statistics) and public health. This combination of skills allows students to explore new and emerging data sources, provide them with training in how to think critically about these data and apply core public health skills of leadership and advocacy in order use these new insights to improve the health of the public. Rob was previously module lead for The Population Perspective Module and co-lead the development of an MSc module on Infectious Disease Epidemiology and Global Health Policy at the Institute for Global Health, UCL. 


Rob is a Professor of Public Health Data Science and Wellcome Trust Clinical Research Career Development Fellow at the Institute of Health Informatics. He qualified in medicine from University College London in 2007, gained an MSc in Epidemiology at The London School of Hygiene and Tropical Medicine in 2010 and completed his PhD in infectious disease epidemiology at University College London in 2015. Prior to studying medicine, he studied Mechanical Engineering at The University of Nottingham and worked in management consultancy.