Oludare Ariyo

Dr. Oludare Ariyo is a Lecturer in the Department of Mathematical Sciences at the University of Essex, part of the School of Mathematics, Statistics and Actuarial Science (SMSAS). He holds a PhD in Biostatistics from KU Leuven (2020) and has extensive experience in academia, including a previous position as Lecturer in Statistics at the Federal University of Agriculture, Abeokuta (2013–2022), and a Research Associate role at KU Leuven’s Department of Public Health and Primary Care (2016–2020).

Education:

• PhD (Biostatistics), KU Leuven, Belgium (2020)
• M.Sc. (Statistics), Federal University of Agriculture (2010)
• B.Sc. (Mathematical Sciences), Federal University of Agriculture (2005)

Research Interests: Dr. Ariyo focuses on statistical methodology in health, environment, agriculture, and social sciences. His work emphasizes Bayesian model selection for longitudinal and mixed-effects models, high-dimensional data analysis, survival analysis, and applications in biostatistics and data science. He currently leads a Royal Society-funded project developing structured covariance Bayesian models and collaborates with institutions like the International Institute of Tropical Agriculture.

Grants & Supervision:

• Recipient of Royal Society funding for Bayesian covariance modeling research
• Open to PhD supervision in Bayesian statistics, biostatistics, mixed models, and machine learning

Labs & Collaborations: Engaged in interdisciplinary projects at the intersection of statistics, agriculture, and public health, with past affiliations at the National Horticultural Research Institute (NIHORT), Ibadan, Nigeria.