Announcing the 2025 Hi! PARIS Fellows
We are proud to introduce the newest cohort of Hi! PARIS Fellows, part of the Hi! PARIS Cluster 2030 initiative. Designed to foster long-term excellence in AI and data analytics, this program supports innovative research across science, business, and society. Hosted within leading institutions, Institut Polytechnique de Paris, HEC Paris, Inria, and CNRS, the 2025 fellows were selected through a highly competitive open call.
Our new cohort includes 19 exceptional researchers, spanning Standard (Starting & Advanced) and Synergy Fellowships.
They are hosted across Hi! PARIS partner instituions and bring diverse, forward-thinking AI applications:
Starting Fellowships
Gül Varol (ENPC) – Training Machines to Train Humans in Motion
- Enzo Tartaglione (Télécom Paris) – Frugal AI: Grounding Information Flow
- Vicky Kalogeiton (Ecole olytechnique) – Scalable Model-Data Co-evolution
Stephan Alaniz (Télécom Paris) – Explaining & Removing Social Biases in Text-to-Image AI
Amaury Hayat (ENPC) – Efficient Symbolic Mathematics Systems
Anna Korba (ENSAE Paris) – Generative Bilevel Diffusion Models
Advanced Fellowships
Antonin Bergeaud (HEC Paris) – AI Adoption: Economic & Social Implications
- Gael Varoquaux (Inria) – TaFoMo: Foundation Models for Versatile Tabular Data Tasks
Loïc Landrieu (ENPC) – Universal Geospatial Representations
Ioana Manolescu (Inria) – AI Data Dialogs for the Press
Alain Oliviero-Durmus (Ecole polytechnique) – Enhanced Generative Models
Etienne Ollion (CNRS) – Textual Politics in Traditional Media
Fabian Suchanek (Télécom Paris) – Lossy Language Models
Synergy Fellowships
Florence D’Alché-Buc (Télécom Paris), Rémi Flamary (Ecole polytechnique) & Charlotte Laclau (Télécom Paris) – Advancing efficient, reliable and science-informed Learning for non-euclidean data with Application to molecule and biological network Structures
Patrick Loiseau (Inria), Vianney Perchet (ENSAE Paris) & Yuki Tamura (Ecole polytechnique) – Design, Incentivization, Optimization and Reinforcement Learning of Multi-Layered Market
This fellowship cohort reflects the depth and diversity of the Hi! PARIS research ecosystem. From geospatial modeling and symbolic reasoning to AI ethics, media analysis, and market dynamics, the selected projects embody the center’s commitment to advancing interdisciplinary and socially impactful research.
Through its Starting, Advanced, and Synergy Fellowship tracks, Hi! PARIS is proud to support both emerging talent and established leaders, fostering collaboration across institutions and disciplines to drive the future of AI for science, business, and society.