About Me

I am a Senior Lecturer in Computer Science at Bournemouth University with an interdisciplinary academic background spanning economics, development policy, and computational data science. My work bridges rigorous quantitative methods with industry-relevant applications in machine learning, FinTech, and AI-driven decision systems.

International Academic Trajectory: My academic training spans three continents and reflects a progression from foundational economic theory to cutting-edge computational methods. I earned a BSc in Economics from Ahmadu Bello University, Nigeria, followed by an MSc in Economics from the University of Ibadan, Nigeria—one of Africa's leading institutions. Seeking expertise in policy design and institutional development, I completed an MSc in Development Policy at the KDI School of Public Policy and Management in South Korea, a globally recognised hub for development economics and governance research. I then pursued a PhD in Economics at Bournemouth University, UK, specialising in microdata modelling, behavioural analysis, and advanced econometric techniques.

This international training has equipped me with diverse methodological perspectives—from African economic development challenges, to Asian policy frameworks, to European computational research standards. I further enhanced my technical skill set through advanced training in Non-Linear Panel Data Modelling at the Barcelona Graduate School of Economics, Spain.

Transition to Data Science & AI: Throughout my career, I have taught extensively in mathematics, statistics, econometrics, and business analytics. This foundation naturally evolved into a full transition to data science and artificial intelligence, where I now conduct applied research in machine learning, deep learning architectures (including Transformer models), and AI for financial crime detection. I supervise PhD candidates working on real-world challenges in FinTech, digital health interventions, and maritime predictive analytics, often in collaboration with industry partners.

Research Interests & Technical Expertise

• Machine Learning & Deep Learning (Transformers, RNNs, Neural Networks)
• FinTech AI: Transaction Monitoring & Anti-Money Laundering (AML)
• Applied Econometrics & Microdata Modelling (ARDL, Panel Data)
• AI-driven Predictive Analytics & Decision Support Systems
• Digital Health Interventions & Well-being Analytics
• Maritime AI: Vessel Performance Optimisation
• Human-centred & Responsible AI Design
• Digital Innovation & Transformation Strategy

Professional Memberships & Fellowships

• Fellow of Advanced Higher Education, UK
• Member, British Computing Society
• Member, IEEE (Institute of Electrical and Electronics Engineers)
• Chartered Management and Business Educator (ABS Member)
• Member, Royal Economic Society
• Member, Sigma Network International – Maths Support Network
• Member, Institute of Chartered Accountants, Nigeria (ICAN)

Academic Service & Committee Roles

• Scientific Committee: Faculty of Management Postgraduate Researchers Conference at Bournemouth University
• Participant, Royal Economic Society PhD Meetings at Westminster Business School
• Journal Reviewer for top-tier publications:
  • Annals of Tourism Research (ABS 4-Star)
  • Energy Journal (ABS 3-Star)
  • Business, Strategy and the Environment (ABS 3-Star)
  • Journal of Cleaner Production
  • Journal of Land and Society
  • Environmental Science and Pollution Research
  • Quality and Quantity
  • Open Agriculture
  • Journal of Public Affairs