Assistant Professor
Mathematics & Statistics Department, School of Arts & Sciences
Osho Ajayi holds a Ph.D. degree in Statistics from the University of Glasgow, United Kingdom, where he also held undergraduate class teaching and demonstration appointments while completing his degree. Before joining the American University of Nigeria, he held an academic research position at the University of Reading, England working on methods for efficiently estimating the recombination rate in a human population using candidate datasets. He thereafter worked as a Researcher Associate at the University of St-Andrews, St-Andrews, Scotland on developing and evaluating efficient statistical tests to understand the mechanics of the population divergence of Senecio, within the United Kingdom.
An enthusiast in the application of statistical knowledge in biomedical science and the related field of using microarray to identify genetics pathways in pathology, Osho was for several years a Research Statistician with the MRC-Biostatistics Unit/Institute of Public Health, University of Cambridge, Cambridge England. Prior to his Ph.D. degree, Osho served briefly as a member of the academic staff at the University of Ibadan, Ibadan, Nigeria before joining the International Institute of Insect Physiology and Ecology, Nairobi, Kenya as a Scholar.
Osho Ajayi currently chairs the Mathematics & Statistics Department at AUN in addition to his primary teaching responsibility. He currently teaches undergraduate introductory general Statistics and Non-parametric statistics classes but has over the past several years instructed a number of different Mathematics and Statistics courses to both undergraduate and graduate classes across the different schools at AUN. He serves on the dissertation committee of several graduate students in AUN’s School of Business and Entrepreneurship.
Osho is a member of professional bodies that include the American Statistical Association and has research interest in the general application of statistical methods to count data and the modeling of the underlying processes that generated such datasets, and the analysis of big data. His most recent published works include the one co-authored with another colleague in the department that was recently accepted for publication by the Journal Quality and Quantity.
Statistical Modelling; Application of Statistics in human and population
genetics data, analysis of epidemiology, and biomedical sciences data.
Non-parametric statistics
J. S. Olumoh, O.O.M. Sanni, O.O. Ajayi, and E.T. Jolayemi (2017). A new Mixture model from Generalized Poisson and Generalized inverse Gaussian distribution. Far East Journal of Theoretical Statistics, (3): 139-160.
J.S. Olumoh, O.O.M. Sanni, O.O. Ajayi, and E.T. Jolayemi (2016) . A Generalized- Poisson Generalized-Inverse-Gaussian Model for Analyzing Count Data. Journal of Mathematical Sciences, 10(2): 35 – 45.
Olumoh, J. S & Ajayi, O. O. (2014). A Logistic Regression Analysis of Malaria Control Data. European International Journal of Science and Technology, Vol 3.8 Jamiu S. Olumoh & O.O. Ajayi (2013) A logistic Regression analysis of Malaria Control Data. the XXIX-th European Meeting of Statisticians 2013, Budapest, Hungary.
Osho O. Ajayi (2011). Estimating the variation in Malaria Incidence Rate in a Heterogeneous Population. 2011 Joint Statistical Meeting, Miami Beach, USA. O.O. Ajayi, A.Odulaja, S.Nokoe & A Bamiduro (1999). Gender-specific factors affecting the agricultural output of small-scale farmers in Africa: Western Kenya, a case study. Journal of Trop. For. Resources, Vol. 15.2, pp:130-136
O. O. Ajayi (1999). System analysis models for evaluating control methods and associated risks in Integrated Pest Management (IPM). A statistical study proposal to The Capacity Building Dept. of ICIPE in Nairobi, Kenya
O. O. Ajayi (1999). Gender factors in the volume of the agricultural output of subsistence farmers in Africa: a case study. International Biometrics Society Conference, Sub-Sahara African Region, Aug. 1999. IITA Ibadan, Nigeria.
Shola Ajayi (2005). The Coalescent theory: A discussion. (Talk delivered to MRC- BSU Scientist in June 2005, Cambridge).
O. O. Ajayi, (2004). A novel method for estimating the scale recombination rate from sequence data. Talk at INTERFACE 2004: Conference of the Interface Foundation of North America, May 2004. Baltimore, USA.
O.O. Ajayi (2002) Principal component methods for the statistical analysis of shape data: a covariate approach. Poster at the International Biometrics Society Conference, July 2002. Freiburg, Germany.
O.O. Ajayi(2002). A weighted approach to the analysis of shape data. Young Statistician's Meeting (YSM), Mar. 2002. Edinburgh.
The International Biometrics Society
The Institute of Mathematical Statistics
The American Statistical Association