Doctoral Researcher in Computational Engineering
LUT University — Atmospheric Modelling Centre (AMC-Lahti)
I develop neural network architectures that explicitly encode atmospheric physics — terrain-atmosphere interactions, advective transport — to push spatial resolution and forecast accuracy for air quality and Earth system prediction. Supervised by Prof. Michael Boy and Assoc. Prof. Zhi-Song Liu.
I have hands-on experience running large-scale distributed training on the LUMI supercomputer, scaling experiments up to 1,024 AMD MI250X GPUs for training vision transformer models on high-resolution atmospheric reanalysis data.
MSc in Engineering (Big Data & AI) from EiCnam Paris, with a one-year apprenticeship at INRIA Bordeaux within the Mnemosyne team, co-led by Frédéric Alexandre and Nicolas Rougier.
News
- Feb 2026 TopoFlow preprint available on arXiv
- Feb 2026 Academic visit to Prof. Jia Chen's group at TU Munich — discussions on atmospheric sensing and AI
- Jan 2026 Invited talk at my former university (BUT Niort) to share my academic journey with students
- Oct 2025 Attended LUMI training sessions in Tallinn — supercomputing, GPU profiling & performance optimization
- Sep 2025 Presented at EAC 2025 in Lecce on AI-based air quality modeling and atmospheric emulators
- Jul 2025 Academic visit to Istanbul Technical University — discussions on air quality with Dr Metin Baykara
- Jun 2025 Presented AQ-Net at SCIA 2025 in Reykjavík — speed talk & poster session, published in Springer LNCS
- May 2025 Poster presentation at LUT University Scientific Day
- Apr 2025 Research visit at INRIA Bordeaux (N. Rougier & F. Alexandre) and École Polytechnique Paris (V. Kalogeiton & M.-P. Cani)
- Feb 2025 AQ-Net preprint available on arXiv
- Oct 2024 Started Ph.D. at LUT University — Teaching assistant for Foundations of AI & Machine Learning
- May 2023 Founded Wabel Group — AI & web development company
Publications
Experience
Junior Researcher & Teaching Assistant
LUT University, Lahti, Finland
CEO — Wabel Group
AI services & web development
Research Engineer (Apprenticeship)
INRIA Bordeaux — Mnemosyne team (F. Alexandre & N. Rougier)
Volunteer Firefighter
Sapeurs-pompiers des Deux-Sèvres
Education
Ph.D. Computational Engineering
LUT University, Finland
MSc Engineering — Big Data & AI
EiCnam Paris — Apprenticeship at INRIA Bordeaux (Mnemosyne team)
Bachelor — Data Science
BUT Niort — Statistics, Big Data, Business Intelligence & Data Science