Alexis Thomas

§ Research

Research &
recognition

My work sits where forecasting research meets production systems: hierarchical, neural and foundation models, rigorous evaluation, and the engineering it takes to run them at scale.

Google Scholar profile

§ 1 · Peer-reviewed

Publication

Journal of Data-centric Machine Learning Research · 2024

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge

Y. Amara-Ouali, Y. Goude, N. Doumèche, P. Veyret, A. Thomas, D. Hebenstreit, T. Wedenig, A. Satouf, A. Jan, Y. Deleuze, P. Berhaut, S. Treguer, T. Phe-Neau

Journal of Data-centric Machine Learning Research (DMLR), 2024.

PDF arXiv Code

§ 2 · Recognition

Awards & credentials

Award · Mar 2023

3rd place, Smarter Mobility Data Challenge

Manifeste IA (Air Liquide, Airbus, EDF, Renault, Safran, Thales, TotalEnergies…) & TAILOR EU project

The first European data science challenge organised by Manifeste IA, a network of 16 industrial companies. With Nathan Doumèche, I forecast the availability of electric vehicle charging stations in Paris. Our work was reviewed by a jury including Cédric Villani, Marc Schoenauer and Jean-Michel Poggi.

Challenge page

Certification · May 2024 – valid until May 2027

AWS Certified Solutions Architect – Professional

Amazon Web Services

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