Summary
Isobel Weinberg is a clinician-scientist and data leader with 11 years’ experience blending clinical practice, academic neuroscience research and commercial data science to drive population health insights. Currently a post-doctoral data scientist and technical lead of the Population Health team at the Artificial Intelligence Centre for Value Based Healthcare, she pairs hands-on NHS experience (acute medicine, oncology, stroke, geriatric care and public health) with applied machine learning from prior roles at British Airways and ASI Data Science. Her PhD in neuroscience and MBBS from UCL, plus a first-class Cambridge BSc, give her deep domain knowledge for translating complex biomedical problems into deployable analytics. Equally comfortable in wards and codebases, she brings a practical focus on producing clinically meaningful models and operationalising them across health systems. An uncommon strength is her track record moving between frontline clinical roles and technical leadership, enabling rapid iteration between real-world clinical needs and AI-driven solutions.
11 years of coding experience
1 year of employment as a software developer
BSc, Physiology, Development and Neuroscience, Class I, BSc, Physiology, Development and Neuroscience, Class I at University of Cambridge
University College London