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Women in Health Data Science

Meet some of the remarkable women in health data science and discover more about their experiences, careers and ambitions.

Clara Fennessy
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Clara Fennessy: Technical Programme Manager

Clara Fennessy speaks multiple foreign languages and studied and worked in Austria and Russia before taking on a role with one of Europe’s largest retailers. But her mother’s many years of...

Branwen Snelling
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Branwen Snelling: Research Software Engineer

Senior Research Software Engineer Branwen Snelling is part of the technology team at Health Data Research UK. She moved into the health sector after developing her skills by modelling extreme...

Opinion

Empowering women in health data science to break barriers and embrace opportunities

12 February 2024

This International Day of Women and Girls in Science, our Director of Strategy, Dr Rhoswyn Walker, shares her motivations, career highlights and challenges she has faced as a female leader in...

Opinion

Black internship paves the way for pre-term birth PhD research

16 March 2023

Fewa Laleye is a PhD student carrying out research to help predict which mothers are most at risk of pre-term births - helping ensure they receive the best care. An alumnus of the HDR UK Black...

Opinion

My journey from third year medical student to computer programmer

28 September 2023

Elise Uzokwe shares her journey from medical student to coder as part of the 2023 Health Data Science Black Internship Programme.

Opinion

Son’s jaundice at birth prompts data scientist’s research journey to help others

7 July 2023

Serifat Folorunso’s motivation for entering the health data research field came after the birth of her second son. With her son presenting with jaundice, Serifat had many questions for...

Opinion

Believe in yourself and follow your own career path

23 November 2022

Monica Jones, Chief Data Officer for University of Leeds and Associate Director for HDR UK, is a former British Army officer with a long-standing interest in science. She moved into health data...

Opinion

My dream has led me to health data science – meet Watjana Lilaonitkul

9 September 2022

Watjana Lilaonitkul, UKRI Rutherford Fellow, University College London, has a clear aim - to build and deploy innovations that can positively impact real-world healthcare outcomes. Here she...

Opinion

Health data science combines my two long standing interests – meet Marta Blangiardo

9 September 2022

While studying for her doctorate During her PhD Marta became 'completely mesmerised by Bayesian statistics'. Since then she has developed a high-flying career and is now Professor of...

Opinion

Integrity and empathy are key words when dealing with patient data – meet Jaine Blayney

9 September 2022

Dr Jaine Blayney, Lecturer, Translational Bioinformatics at QUB, was originally set for a career in software development before developing an interest in protein structure prediction. Here she...

Opinion

I became inspired by mathematical applications in healthcare – meet Rowena Bailey

9 September 2022

Rowena Bailey, Senior Research Officer, HDR UK Swansea University, helps identify social and environmental determinants of ill health to inform decision makers and support policy decisions. Here...

Opinion

I am proud of every project I led or contributed to – meet Fatemeh Torabi

9 September 2022

Fatemeh Torabi, Research Officer & Data Scientist, HDR UK Wales and Northern Ireland, at the University of Swansea, is focused on harnessing large scale linked health data for advancement of risk...

Opinion

My HDR UK Black Internship Programme experience in health data: Uzoma Ochulor

21 July 2022

We caught up with Uzoma Ochulor mid-way through her placement on the Black Internship Programme to find out if it's what she expected and what's she's learnt so far.

Opinion

My HDR UK Black Internship Programme experience in health data: Chrysie Alexiou

21 July 2022

We caught up with Chrysie Alexiou mid-way through her placement on the Black Internship Programme to find out if it's what she expected and what's she's learnt so far.

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