Ivan Olier-Caparroso

Ivan Olier-Caparroso is a Senior Lecturer in Data Science within the Department of Applied Mathematics at Liverpool John Moores University, United Kingdom. He has previously held academic and research positions at Keele University and the University of Manchester, and completed a postdoctoral fellowship at Universitat Autònoma de Barcelona. His academic foundation includes a PhD and MSc in Computer Science from Universitat Politècnica de Catalunya.

• Current Affiliation: Liverpool John Moores University, Department of Applied Mathematics, School of Engineering and Technology
• Previous Positions: Lecturer in Health Informatics (Keele University), Research Associate (University of Manchester), EU Marie Curie Fellow, Postdoctoral Researcher (Universitat Autònoma de Barcelona)
• Education: PhD and MSc in Computer Science, Universitat Politècnica de Catalunya

Dr. Olier’s research centers on the application of data science and machine learning to healthcare challenges, particularly in cardiovascular disease, critical care, and mental health. His work emphasizes predictive modeling, explainable AI, digital twin technologies, and clinical decision support systems. He frequently applies these methods to atrial fibrillation, stroke risk, sepsis, and pneumonia severity. His interdisciplinary approach bridges computer science, statistics, and clinical medicine.

His recent publications (2023–2025) reveal a strong trend in developing and validating machine learning models for clinical risk prediction, patient phenotyping, and digital health solutions. Notably, he contributes to large-scale European initiatives such as the TARGET consortium, focusing on virtual twin technologies for stroke management in atrial fibrillation. His work spans high-impact journals in cardiology, medical informatics, and data science.

His scientific contributions include advancements in:

• Machine learning for cardiovascular phenotyping and risk stratification
• Explainable AI in clinical settings
• Digital twin applications in personalized medicine
• Mental health assessment using network analysis
• AI in sports cardiology and oncology

Dr. Olier actively supervises PhD students, including V Rajapura Sreedhar, R Bellfield, and D Mistry, and collaborates extensively with researchers such as Sandra Ortega-Martorell and Gregory Y.H. Lip. He has contributed to research funded through international collaborations and consortia, though specific grants are not detailed in the provided text. He does not appear to lead a named lab but is embedded in a research-active group at Liverpool John Moores University focused on applied data science in health.