Abdelhakim Benechehab
Ph.D. student @ Huawei Noah's Ark Lab and EURECOM, a Sorbonne university graduate school.

📫 Paris, France 🇫🇷
Hey, thanks for stopping by! 👋
I am Abdelhakim Benechehab, a second-year Ph.D. student at Huawei Noah’s Ark Lab and EURECOM working on model-based reinforcement learning. I am jointly supervised by Giuseppe Paolo and Maurizio Filippone.
In my research, I explore methods to improve dynamics models in the context of model-based reinforcement learning. This includes developing models suitable for long-horizon planning, and that are aware of their errors through uncertainty estimation. Additionally, I am interested in in-context learning and large language models, particularly their applications in reinforcement learning and dynamics modeling.
Previously, I earned my master’s degree at ENS Paris-Saclay in 2021 from the Mathematics, Vision, and Machine Learning (MVA) program. I also hold an engineering degree from École des Mines de Saint-Étienne in mathematics and computer science.
Besides my Ph.D. work, I am an active member of the Moroccan NGO Math&Maroc, which aims to promote science and mathematics in my native country, Morocco 🇲🇦. As part of this endeavor, I organize and mentor at the ThinkAI Hackathon and (used to) host a bi-weekly podcast discussing the latest AI news in Moroccan dialect.
In my spare time, I enjoy sports (primarily volleyball and bouldering), traveling (30+ countries and counting), and learning new things (currently fishing 🎣 and Italian 🇮🇹).
news
Mar 05, 2025 | 🥳 1 workshop paper @ ICLR 2025: AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. |
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Feb 23, 2025 | 🎤 Invited talk @ KAUST on Adapting Foundation Models. |
Feb 17, 2025 | 📑 New preprint and code: AdaPTS. |
Jan 22, 2025 | 🥳 1 paper @ ICLR 2025: Zero-shot Model-based Reinforcement Learning using Large Language Models. |
Oct 15, 2024 | 📑 New preprint and code: DICL. |