Blockchain-Certified AI for Pneumonia Detection: An Auditable Architecture for Trustworthy Chest X-Ray Diagnosis
YRC 2026 – Young Researchers' Community, vol. 1, no. 3, pp. 34–58. Africa Centre of Excellence in Blockchain Research, 27 February 2026.
I help companies, institutions and researchers get clear answers from their data. Alongside, I do research on trustworthy AI, blockchain and digital twins.

I am a statistician by training. After a bachelor's in econometrics and applied statistics at the University of Abomey-Calavi, I completed the Master's in Mathematics, Economics and Statistics at the African School of Economics, then the Master's in mathematical statistics applied to life sciences at CIPMA – UNESCO Chair.
Since 2021, I have applied these methods to concrete projects: analyses for companies and NGOs, statistical studies for research, thesis supervision and field data collection. My work spans health, finance, agriculture and the environment.
My conviction: mathematics, data and algorithms are not reserved for a few. They should serve our problems, on our continent. That is also why I share what I learn through science outreach articles.
Methods suited to the data, checked assumptions, explained uncertainty. A good model is first of all a model whose limits you know.
Every analysis answers a precise question and leads to a decision. Deliverables are documented, reproducible and understandable by your teams.
Training, thesis supervision since 2021, outreach articles: making science accessible is part of my job.
YRC 2026 – Young Researchers' Community, vol. 1, no. 3, pp. 34–58. Africa Centre of Excellence in Blockchain Research, 27 February 2026.
PM2.5 prediction in 8 African cities from satellite data, with gradient boosting models.
See the projectHow mathematics, data and AI are transforming health, finance and agriculture, in Africa and beyond.
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