My work integrates machine learning, functional data analysis, and computational mechanics
to develop reliable and computationally efficient surrogate models for engineering systems.
📖 Research & Publications
📄 Preprints
Scalable Multitask Gaussian Processes for Complex Mechanical Systems with Functional Covariates
Authors: Razak C. Sabi Gninkou, Andrés F. López-Lopera, Franck Massa, Rodolphe Le Riche
Participation in the CIROQUO Scientific Days, gathering academic
and industrial partners working on optimization and uncertainty
quantification for computationally expensive simulations.
Poster presentation on:
Multitask Gaussian Processes with Functional Covariates.
Location: École nationale des ponts et chaussées, Champs-sur-Marne (France) — 2–4 March 2026
Presentation at the CJC-MA (SMAI initiative), a conference for young researchers in applied mathematics.
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📚 Teaching
Université Polytechnique Hauts-de-France
2025–2026 – Discrete Probability and Statistics (Bachelor 2, Computer Science)
→ Preparation of exercises, supervision of tutorials, and evaluation of students.
Institut National des Sciences Appliquées (INSA Hauts-de-France)
2025–2026 – Probability and Statistics (Engineering students)
→ Practical sessions, data analysis projects, and applied statistics guidance.
🏅Certifications
Improving Deep Neural Networks – DeepLearning.AI | Verify