Utkarsh Agrawal

Dr. Utkarsh Agrawal is an Honorary Research Fellow in Health Data Science at the School of Medicine, University of St Andrews. He holds a PhD from the University of Nottingham, where he previously worked as a Research Associate in the School of Computer Science. His research focuses on applying data science and machine learning to analyze large healthcare datasets, particularly in the context of multimorbidity and public health challenges. Current projects include analyzing multimorbidity patterns in over 10 million people to understand disease co-occurrence and their impacts on healthcare systems.

• University Affiliation: University of St Andrews
• Key Roles: Research Fellow (Health Data Science), Co-Investigator in Medical Research Council-funded projects

Research Interests: Health Data Science, Machine Learning applications in healthcare, electronic health record analysis, and multimorbidity mechanisms. His work contributes to UN Sustainable Development Goals related to health and well-being.

Key Projects: Leading the MuM-PreDiCT project (Multimorbid Pregnancy: Determinants, Clusters, Consequences and Trajectories), investigating multimorbidity in pregnancy using linked healthcare data. Collaborations include studies on subclinical hypothyroidism, vaccine efficacy in obesity, and neonatal SARS-CoV-2 infection patterns.

Publications: Over 50 peer-reviewed articles, including studies on multimorbidity clusters, vaccine immunity in obesity, and electronic health record analyses. Datasets include open-source tools for COVID-19 risk prediction and vaccine efficacy evaluation.