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Artificial Intelligence and Racial and Ethnic Inequalities in Health and Care - Panel membership

Contents

The Artificial Intelligence and Racial and Ethnic Inequalities in Health and Care call funds research projects focused on enabling AI and data-driven technologies to deliver better health outcomes for minority ethnic communities.

Panel members

Name

Position

Organisation

Expertise

Professor Peter Bannister (Chair)

Chief Customer Success Officer

Mirada Medical

Commercial, product, operations and technology leadership in digital health, life sciences, artificial intelligence, medical imaging and clinical research organizations

Dr Naomi Lee (Deputy Chair)

Senior Executive Editor

The Lancet

Heads the research section at The Lancet. A vice chair of a WHO/ITU group working on evaluation and regulation of AI in health, centred around the WHO principles of ‘leaving no one behind’

Professor Karl Atkin

Professor

Department of Sociology, University of York

A medical sociologist, experienced in using qualitative approaches to understand healthcare in multicultural societies

Professor Clare Bambra

Professor of Public Health

Newcastle University

Impacts of interventions on health inequalities

Professor Michael Barnes

Professor of Bioinformatics

Queen Mary, University of London

Application of computational analysis techniques including AI to a wide range of health data, including electronic health records, imaging and genomics

Ms Jenny Chong

Non-Executive Director and Chair of Medway Innovation Institute

Medway NHS Foundation Trust

20 years investment banking experience with expertise in big data, artificial intelligence, natural language processing, unstructured date surveillance, technology infrastructure, portfolio management and software engineering

Professor Nusrat Husain

Professor in Psychiatry

University of Manchester

Professor Husain's expertise is in developing culturally adapted scalable mental health interventions.

Dr Bilal Mateen

Clinical Technology Lead

Wellcome Trust

A clinician by background, with academic appointments at the Turing Institute & UCL to carry out data science for health research

Dr Rohini Mathur

Professor of Epidemiology

London School of Hygiene and Tropical Medicine

Use of large-scale real-world electronic health records to conduct epidemiological research into ethnic inequalities in healthcare usage and outcomes

Dr Krish Nirantharakumar

Honorary Consultant in Public Health Medicine

University of Birmingham

Clinical Epidemiology, digital technologies, health records. Developing novel digital tools that enable effective/efficient healthcare systems and expedite health care research

Mrs Peju Oshisanya

Director, Clinical Programme Lead

BenevolentAI

Over 20 years in the pharmaceutical drug development industry including an AI organisation leveraging its platform for drug discovery

Ms Reema Patel

Associate Director

Ada Lovelace Institute

Reema is a founding staff member of the Ada Lovelace Institute, and she leads the organisation’s engagement work, which encompasses public deliberation research, and broader engagement work on health and social inequalities, seeking to inform the Institute’s overall agenda to convene diverse voices

Professor Niels Peek

Professor of Health Informatics

The University of Manchester

Translational data science for clinical risk prediction, personalised and precision medicine, patient safety, and multimorbidity

Professor Nasir Rajpoot

Professor of Computational Pathology

Warwick University

Applied Machine Learning, Computational Pathology, AI for Pathology

Mr Jon Siddall

Chief Executive Officer

South West Academic Health Science Network

Joined the SW AHSN in April 2020 to continue his work across the health and care system leading innovation, strategy and building partnerships to improve population health

Mr Anmol Arora

PPIE Representative

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Nanik Pursani

PPIE Representative 

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A stroke and cancer survivor who has experience of lay reviewing and being a PPIE representative on NIHR funding panels.