Machine Learning · Satellite Data · Nowcasting
I am a PhD researcher in Machine Learning and Applied Mathematics at the University of Leeds. I develop and deploy machine learning systems based on satellite observations to improve convective storm prediction.
Research
I develop models that convert satellite-derived convective-core objects into probabilistic forecasts of storm occurrence. This allows the model to learn from storm structure, location, intensity, timing, and interaction between neighbouring convective systems.
Featured Project
PANCAST is an operational AI-based probabilistic nowcasting system for convective storm occurrence across Africa. It combines satellite observations, object-based storm representations, and spatio-temporal deep learning to support real-time forecasting.
The system is designed for operational forecasting and early warning applications across Africa.
Visit pancast.ioPublications
M. Rakotomanga, D. J. Parker, N. Ben Rached, S. R. Anderson, C. Klein, and S. C. Wells.
Under review in Quarterly Journal of the Royal Meteorological Society.
Experience
PhD Researcher in Machine Learning and Applied Mathematics, University of Leeds.
NC-International Visiting Scientist, UK Centre for Ecology and Hydrology.
Data Science and AI Fellow, Max Planck Institute for Intelligent Systems and University of Tübingen.
Education
MSc in Mathematical Sciences, AIMS South Africa and Stellenbosch University, Cum Laude.
Master’s in Physics and Chemistry, Ecole Normale Supérieure and University of Antananarivo, Magna Cum Laude.
Conferences
Oral presentation on deep learning methods for convective storm nowcasting.
Oral presentation on object-based deep learning for convective storm nowcasting.
Shared work related to AI applications for weather forecasting and nowcasting.
Keynote and outreach activities on AI-driven nowcasting for African weather challenges.
Fluent in English, French, and Malagasy.
Limited proficiency in German.
Recognition
Highly Commended, Community Impact and Innovation, 2026.
Fellowship Programme in Data Science and Artificial Intelligence, 2023.
Full scholarship for MSc studies at AIMS South Africa and Stellenbosch University.
Contact