Shraboni Ghosal

Shraboni Ghosal is a Research Fellow in Data Science at the Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine & Health, University of Manchester, UK. With a PhD in Medicine from Keele University and a Master of Medical Science from the University of Sheffield, she specializes in leveraging epidemiological and data science methodologies to address obesity, Type 2 Diabetes, and related disorders.

• PhD in Medicine, Keele University
• M.Med.Sci., University of Sheffield
• B.Sc. in Biological Sciences
• PGCE in Further, Adult & Higher Education, Manchester Metropolitan University

Her research focuses on mixed methods analysis of longitudinal primary care healthcare data, evidence synthesis, and dissemination of findings to patients, healthcare professionals, and policymakers. Current work explores digital health apps for diabetes management, integrating artificial intelligence and virtual reality tools to improve patient outcomes.

Shraboni’s recent publications highlight trends in digital health innovation, including virtual reality mindfulness applications, AI-driven co-design protocols for diabetes distress reduction, and pharmacoepidemiological studies on weight management interventions. Her expertise spans quantitative and qualitative data analysis, survival/sensitivity analysis, and translational research.

She is a registered Allied Healthcare Professional (RNutr) with The Nutrition Society, Association for Nutrition, Federation of Holistic Therapists, and British Dietetic Association. Additionally, she has extensive experience as a lecturer in higher education.