Research
Research.
Natural language processing for low-resource African languages, and machine learning in health.
- Under reviewLanguage data and policy · 2026
Auditing Yorùbá language datasets
How publicly available Yorùbá language datasets are licensed, documented and funded, and what that means for language-data policy and research funding in Nigeria.
Submitted to a conference
- In progressNatural language processing · 2026
Offensive language detection in Yorùbá social media text
Comparing classical machine learning with African-language transformer models, weighing accuracy against computational cost, and examining where models struggle with code-switching, informal spelling and missing diacritics.
MSc research, University of Ibadan
- In progressNatural language processing · 2026
A systematic review of NLP research on low-resource African languages
A systematic review of published natural language processing research on low-resource African languages, mapping what has been studied so far and where the gaps are.
- PreprintMachine learning in health · 2026
Attention-Based Deep Learning for Early Parkinson's Disease Detection with Tabular Biomedical Data
Comparing attention-based deep learning models with established methods for detecting Parkinson's disease early from biomedical voice measurements.
arXiv · with Olamide Samuel Oseni and Toheeb Aduramomi Jimoh
What I'm interested in.
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Low-resource language NLP
Models that work for African languages, with Yorùbá as a starting point.
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Language data and governance
How language datasets are documented, licensed, funded and kept up.
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Performance against cost
When larger models are worth their computational cost, and when they are not.
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Machine learning in health
Deep learning for clinical screening from tabular biomedical data.
Working on something related?
I'm open to collaboration on African-language NLP, language data and applied machine learning.