Interdisciplinary researcher — Machine Learning, FinTech AI & Applied Data Science
I build applied AI systems that solve industry challenges in FinTech, digital health, and maritime analytics. I teach data science and supervise PhD projects that bridge academic rigour with real-world deployment.
I bring an interdisciplinary background spanning economics, development policy and computational data science — trained across institutions in Nigeria, South Korea and the UK. My work focuses on trustworthy AI, transformer-based models for transaction monitoring, and data-driven decision support systems.
My academic journey began in economics with a BSc from Ahmadu Bello University, followed by postgraduate training including an MSc at the KDI School in South Korea and doctoral research in the UK. Over time I transitioned from applied econometrics into machine learning and AI, focusing on methods that deliver measurable impact in industry and public policy.
Current research includes transformer-based models for AML, human-centred AI for healthcare, and applied maritime analytics. I lead industrial collaborations and supervise projects that translate research into deployed systems.
I teach modules across data science, machine learning and econometrics, and supervise Master's and PhD students. My supervision emphasises reproducible research, open science and industry engagement.
I'm open to industry-academic partnerships and PhD supervision. Contact me to discuss student projects, funded collaborations, or consulting opportunities.
Get in touchGlobal partnerships in climate change, digital health, and capacity development
Bournemouth University, UK
Certificate in Programme Leadership: Enhancing Practice and Developing the Self
Bournemouth University, UK
Focus Area: Microdata Modelling and Behaviour
Barcelona Graduate School of Economics, Spain
KDI School of Public Policy and Management, South Korea
University of Ibadan, Nigeria
Ahmadu Bello University, Nigeria
A visual journey through conferences, collaborations, teaching moments, and research milestones. Click any image to view it larger.