Anthony Onoja

Dr. Anthony Onoja is a Research Fellow at the University of Surrey's School of Health Sciences, affiliated with the Centre of Excellence on Ageing (CEA). He holds a PhD in Data Science from Scuola Normale Superiore (Italy), an MSc in Mathematical Statistics from Pan African University/Kenyatta University (Kenya), and a First Class BSc in Statistics from the University of Jos (Nigeria). His work focuses on applying AI, data science, and statistical methods to health challenges, particularly in biomarker identification, patient stratification, and interpretable machine learning for chronic diseases. He currently contributes to the CEA's transdisciplinary research on healthy ageing, collaborating with national and global networks.

Research interests include:

• Interpretable/explainable AI for medical decision-making
• Multimorbidity analysis using multi-omics data
• Biomarker validation reproducibility
• Genetic interactions in disease severity (e.g., COVID-19)

Notable contributions include developing explainable models for myocardial infarction patient profiling, lipidomics biomarker reproducibility frameworks, and genetic severity prediction systems for infectious diseases. His work emphasizes translational research with clinical and public health relevance.

Current research projects include bioinformatics analysis of the NURTuRE-CKD cohort and applications of domain knowledge integration in biomedical AI systems.