R. C. Sabi Gninkou, A. F. López-Lopera, F. Massa, and R. Le Riche. “Scalable multitask Gaussian processes for complex systems with functional covariates.” Preprint, 2026.
About Me
I am a PhD candidate in Applied Mathematics. My research is conducted at Université Polytechnique Hauts-de-France (UPHF) and École des Mines de Saint-Étienne (EMSE), within the ANR JCJC GAME project.
- Ph.D. in Applied Mathematics (12/2024–Present) — Université Polytechnique Hauts-de-France (UPHF) & École des Mines de Saint-Étienne (EMSE), France. Research topic: Modeling mechanical random fields using Gaussian processes: from simulation to identification.
- Research Internship — EDF R&D (04/2024-10/2024) — Paris-Saclay, France. Worked on Bayesian inference and reliability modeling for industrial systems using Weibull models, censored data, and Markov Chain Monte Carlo (MCMC) methods.
- Master 2 in Statistics and Machine Learning (2023–2024) — Sorbonne University , France. Conducted within the Laboratoire de Probabilités, Statistique et Modélisation (LPSM) . Funded by the prestigious Paris Graduate School of Mathematics (FSMP) scholarship.
- Master’s degree in Statistics and Probability (2021–2023) — Institut de Mathématiques et de Sciences Physiques (IMSP), Benin. Research focused on statistical modeling and machine learning methods.
- Bachelor’s degree in Mathematics, Computer Science and Applications (2017–2020).
Research Interests
- Gaussian Processes
- Functional data modeling
- Physics-informed covariance design
- Machine Learning
- Uncertainty quantification
My work integrates machine learning, functional data analysis, and computational mechanics to develop reliable and computationally efficient surrogate models for engineering systems.
Research & Publications
Papers
Talks
R. C. Sabi Gninkou, A. F. López-Lopera, F. Massa, and R. Le Riche. “Scalable Multitask Gaussian Process Surrogate Modeling for Complex Simulation Codes with Functional Covariates.” Rencontres Jeunes Statisticien-ne-s 2026, Porquerolles, France, 17–21 May 2026.
R. C. Sabi Gninkou, A. F. López-Lopera, F. Massa, and R. Le Riche. “Multitask Gaussian Process with Functional Covariates.” Journées de la Statistique (JDS 2026), Clermont-Ferrand, France, 1–5 June 2026.
Posters
R. C. Sabi Gninkou, A. F. López-Lopera, F. Massa, and R. Le Riche. “Multitask Gaussian process emulation of black-box simulators with functional covariates.” MASCOT-NUM 2026, RT-UQ, ENSAI Rennes, France, 1–3 April 2026.
R. C. Sabi Gninkou, A. F. López-Lopera, F. Massa, and R. Le Riche. “Gaussian processes for surrogate modeling of computationally expensive simulation codes with functional covariates.” Researchers’ Tuesday, Université de Mons, Belgium, 17 March 2026.
R. C. Sabi Gninkou, A. F. López-Lopera, F. Massa, and R. Le Riche. “Multitask Gaussian processes for complex systems with functional covariates.” CJC-MA 2026: Congrès des Jeunes Chercheur.e.s en Mathématiques Appliquées, Champs-sur-Marne, France, 5 March 2026.
R. C. Sabi Gninkou, A. F. López-Lopera, F. Massa, and R. Le Riche. “Gaussian Processes with Functional Inputs: A Dimension Reduction Approach.” Journées d’automne du consortium en mathématiques appliquées CIROQUO, Rueil-Malmaison, France, 14 November 2025.
📚Teaching
Université Polytechnique Hauts-de-France
Bachelor 2, Computer Science
Preparation of exercises, supervision of tutorials, and evaluation of students.
Institut National des Sciences Appliquées (INSA Hauts-de-France)
Engineering students
Practical sessions, data analysis projects, and applied statistics guidance.
🏅Certifications
Improving Deep Neural Networks
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Structuring Machine Learning Projects
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Neural Networks and Deep Learning
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Responsible AI: Applying AI Principles
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Introduction to Generative AI
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Introduction to Responsible AI
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Introduction to Large Language Models
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How to Write and Publish a Scientific Paper
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