Dr. Kayode Olakunle

Dr. Kayode OLAKUNLE

Statistician
  • Email

    kayusolakunle@gmail.com

    kolakunle@oyscatech.edu.ng

  • Phone

    +234 813 0610 812

  • Address

    Dept. of Statistics, OYSATECH, Igboora, Oyo State, Nigeria

Dr. Kayode Olakunle

Dr. Kayode OLAKUNLE

Statistician
  • Email

    kayusolakunle@gmail.com

    kolakunle@oyscatech.edu.ng

  • Phone

    +234 813 0610 812

  • Address

    Dept. of Statistics, OYSATECH, Igboora, Oyo State, Nigeria

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Head of DepartmentDept. of Statistics, OYSCATECH

Advancing Robust Statistical Methodology for Real-World Impact

Statistician and researcher specializing in Generalized Linear Models, count data analysis, and shrinkage estimation. Committed to developing mathematically rigorous, computationally efficient methods and translating them into open-source tools for health, agriculture, and environmental science.

Ph.D. StatisticsFRSSTETFund Scholar
R • Python • Monte Carlo Simulation
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Dr. Kayode Olakunle

Research Interests

Core areas of my statistical research and methodology development.

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Statistical Methodology
Generalized Linear Models (GLMs)
Shrinkage & Penalized Regression
Robust Statistics
Statistical Computing
Bayesian Statistics
Machine Learning & AI
Biostatistics & Medical Stats
Agricultural Statistics
Environmental Statistics
Time Series Analysis
Data Science & Big Data
Survey & Applied Statistics
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Featured Publications

Recent peer-reviewed outputs and conference presentations.

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5Journal Articles
12Conference Papers
5Book Chapters
2025Journal

Evaluation of New Liu-Ridge Type Estimators for Improved Poisson Regression: Theory and Simulation

Science World Journal, 20(3)

2025Journal

New Ridge-Type Estimator to Mitigate Multicollinearity in the Poisson Regression Model: Theory and Simulation

ZBW – Leibniz Information Centre for Economics

2025Conference

Effect of Fuel Subsidy Removal on Small-Scale Farmers in Ibarapa Central Local Government, Oyo State

IASS–RSS NIG 2025 International Conference Proceedings

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Latest News & Updates

Recent professional activities, awards, and conference participation.

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AwardOct 2025

UNESCO STEM Educators Programme

Selected for the China–Africa STEM Educators Acceleration Programme at Shanghai Normal University, China.

PresentationAug 2025

KU8+ International Conference

Accepted to present research on Community Vulnerability to Flood in South-West Nigeria.

PresentationMar 2025

IASS–RSS Nigeria Conference

Presented findings on Shrinkage Methods and Fuel Subsidy Removal impacts at FUNAAB.

Publication2023

Textbook Published

Published 'Probability Theory Made Easy' with support from TETFund Book Development Grant.

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Let's Work Together

Open to academic partnerships, data science consulting, and mentoring.

Research Collaboration

Interested in joint research on GLMs, robust statistics, or shrinkage estimation?

Propose Collaboration

Statistical Consultancy

Need expert data analysis, methodology design, or statistical modelling for your project?

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Student Supervision

Looking for mentorship in applied statistics, data science, or mathematical modelling?

Discuss Supervision

General Inquiry

For speaking engagements, media requests, or general academic questions.

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