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Professor Sarah Ennis

Professor of Genomics

Research interests

  • Inflammatory Bowel Disease
  • Big Data
  • Genomics

More research

Accepting applications from PhD students.

Connect with Sarah

Email: S.Ennis@soton.ac.uk

Tel: +44 2381208614

ORCID

Profile photo 
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Name 
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Job title 
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Research interests (for researchers only) 
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Contact details 
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ORCID ID 
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Accepting PhD applicants (for researchers only) 
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About Research Publications Supervision Teaching External roles and responsibilities Biography
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About

Professor Sarah Ennis is an internationally recognised leader in genomics, biomedical data science, and personalised medicine. She is Professor of Genomics at the University of 天发娱乐棋牌_天发娱乐APP-官网|下载, where she directs the Genomic Informatics Group and leads the Human Genetics & Genomic Medicine (HGGM) theme within the School of Human Development and Health. Her work spans the integration of genomic and multi-omic data with clinical records, the development of AI-driven diagnostic tools, and the design of national research infrastructure to support precision healthcare.

With a career that bridges academia, the NHS, and industry, Professor Ennis plays a pivotal role in shaping the future of genomic medicine in the UK. She is a Research Director within NHS England’s Genomic Medicine Service, a founding member of the Genomic Artificial Intelligence Network, and a frequent advisor to national and international research and policy bodies. She leads projects within Genomics England and UK Biobank. She has published in ~200 peer-reviewed research publications and been cited in 28 government policy documents, underscoring its global impact.

External Roles and Responsibilities

Professor Ennis holds several influential roles that extend her impact beyond academia:

  • Research Director, Central & South Genomic Medicine Service Alliance (GMSA), providing strategic leadership for NHS genomic research across one-fifth of England’s population.
  • Genomics Lead, Wessex Health Partners, leading initiatives in pharmacogenomics and polypharmacy in the elderly.
  • Project Lead, Cancer Genomics exemplar within the ?7.5M Wessex Secure Data Environment, integrating genomic and clinical data for personalised treatment.
  • Co-applicant, NHS Genomic Artificial Intelligence Network, shaping national strategy on AI in genomic medicine.
  • Consultant, providing expert advice to legal firms on genetically indicated therapies in pharmaceutical litigation.

She contributes to national infrastructure through the UHS Data Science Programme Board, the Institute for Life Sciences, and the UK Government’s AI Opportunities Action Plan. She regularly chairs sessions and delivers keynote talks at major conferences including the Festival of Genomics and BioData. Her research is regularly presented at the European and American Societies of Human Genetics, the International Society of Computational Biology and increasingly at for integrating Genomics with Artificial Intelligence in Healthcare research.

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Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.

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