Health Data Science Insights - Cambridge

University of Cambridge

Welcome!We are health data science researchers passionate about transforming health. Based in the Cardiovascular Epidemiology Unit at the University of Cambridge, we collaborate nationally and internationally. This podcast is for health data science researchers and the public. We explore topics like Trusted Research Environments, ethical considerations, AI, and multiomics. Thanks to the National Institute of Health and Care Research Cambridge Biomedical Research Centre (NIHR203312) for sponsoring this. Join Dr Alexia Sampri, Dr Elena Raffetti, Dr Elias Allara as we engage with leading experts.

Episodes

  1. Insights from Prof John Danesh, Dr Emmanuela Bonglack, Nick Hirschmuller, Dr Anne Forde

    09/28/2025

    Insights from Prof John Danesh, Dr Emmanuela Bonglack, Nick Hirschmuller, Dr Anne Forde

    🎙️ The CEU Away Day is an annual event that brings together researchers, students, and staff from the Cardiovascular Epidemiology Unit (CEU) at the University of Cambridge to share science, reflect on career journeys, and strengthen our community. Today last year, this episode was recorded live at the 2024 CEU Away Day, where hosts Dr Alexia Sampri and Dr Elena Raffetti moderated a special career panel featuring: Prof John Danesh – Head of Department of Public Health, Director of the CEU, British Heart Foundation Professor of Epidemiology and Medicine, and Faculty Member at the Wellcome Trust Sanger Institute Dr Emmanuela Bonglack – Schmidt Science Fellow and Research Associate, whose work integrates multi-omics and advanced statistical methods to study cardiometabolic diseases. Nick Hirschmüller – PhD student jointly with the University of Cambridge and AstraZeneca, researching genetic risk factors for cardiovascular disease. Dr Anne Forde – Patient and Public Involvement and Engagement Manager at CEU, with a background in life science research and science communication. Together, they discuss mentorship, leadership, professional development, and the value of taking calculated risks in research. The panel also reflects on how to balance technical expertise with openness to new perspectives, and the essential skills needed to thrive in a world where AI, machine learning, and health data science play an ever-growing role in cardiovascular research. Whether you’re an early-career researcher or interested in the diverse paths within health data science, this episode offers inspiration, practical advice, and insights from some of the leaders and rising voices in the field.

    15 min
  2. 09/23/2025

    Insights from Dr Sam Lambert

    Polygenic Scores, Open Science, and the Future of Precision Medicine In this episode, we sit down with Dr Sam Lambert, Assistant Professor of Health Data Science at the Cardiovascular Epidemiology Unit, University of Cambridge, Fellow at Churchill College, and visiting researcher at the European Bioinformatics Institute. Sam shares his journey into health data science and his dual focus on multimorbidity in cardiometabolic disease and the development of open science tools. We discuss the Polygenic Score Catalog (https://www.pgscatalog.org/), a global database he helped establish that now houses thousands of genetic risk scores for traits and diseases, and explore the opportunities and challenges of using polygenic risk in healthcare. The conversation touches on pressing ethical questions in genetic prediction, the challenges of applying risk models across diverse populations, and the potential role of polygenic scores in both primary and secondary care. Beyond research, Sam reflects on his teaching role in Cambridge, his experiences as Dean of Churchill College, and the advice he would give his younger self. 🎙️ Whether you’re curious about the future of genetics in healthcare, or interested in open science and data-sharing, this episode offers a thoughtful look at how health data science is shaping precision medicine. #HealthDataScience #PrecisionMedicine #PolygenicScores #GeneticRisk #OpenScience #DataSharing #Cambridge #Podcast

    29 min

About

Welcome!We are health data science researchers passionate about transforming health. Based in the Cardiovascular Epidemiology Unit at the University of Cambridge, we collaborate nationally and internationally. This podcast is for health data science researchers and the public. We explore topics like Trusted Research Environments, ethical considerations, AI, and multiomics. Thanks to the National Institute of Health and Care Research Cambridge Biomedical Research Centre (NIHR203312) for sponsoring this. Join Dr Alexia Sampri, Dr Elena Raffetti, Dr Elias Allara as we engage with leading experts.