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Announcing the 2026 Hi! PARIS Chairs

We are proud to introduce the newest cohort of Hi! PARIS Chairs, 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 2026 chairs were selected through a highly competitive open call.

Our new cohort includes 20 exceptional researchers, spanning Standard (Starting & Advanced) and Synergy Fellowships.

They are hosted across Hi! PARIS partner institutions and bring diverse, forward-thinking AI applications:

Starting Fellowships

  • Sibo Cheng​​ (ENPC, IP Paris) – Differentiable Digital Twin for Wildfire Prediction & Control

  • Pierre-Cyril Aubin​ (ENPC, IP Paris) – Diffusion models for Operations Research (DiffusOR)
  • Ye Zhu (École polytechnique, IP Paris) – PGDL-Stellar: Physics-Grounded Deep Learning Models for Stellar Dynamics 

  • Flore Sentenac​ (HEC Paris) – Sequential Learning: Beyond Single-Criterion Objectives

  • Paul Mangold (École polytechnique, IP Paris) – Federated Optimization for Resilient & Communication-Efficient Stochastic Training of Large-Scale Models

  • Hélène Halconruy​ (Télécom SudParis, IP Paris) – PRISSM: Private Shared Stochastic Models
  • Michelangelo Rossi​ (HEC Paris) – INSIGHT-AI Integrated AI, Search Interfaces, & User Behavior: Causal Evidence from AI Overviews & Generative Search 

  • Julien Romero (ENPC, IP Paris) – GRAIL: Grounded Recommendation with Auditable Inference Links

  • Quentin Bammey (École polytechnique, IP Paris) – Geometry-Aware Latent Representations for Coherent 3D Reconstruction & Generation

Advanced Fellowships

  • Tony Lelievre​ (ENPC, IP Paris) – Atomistic Dynamics & AI for Molecular Analysis & Neural Training

  • Jean-François Chassagneux​​ (ENSAE, IP Paris) – Structure-preserving Learning of Operators for PDEs in Economics (SLOPE)

  • Arthur Leclaire​ (Télécom Paris, IP Paris) – Stability & Control of Deep Image Restoration

  • Oana Balalau​ (Inria) – PERSPECTIVE: Augmentation & Multi-Perspective Reframing of Public Discourse

  • Yann Algan​ (HEC Paris) – AI, Emotions & Democracy

  • Christophe Josserand​(CNRS) – Turbulence Modeling and Scale Invariance using PINNs

  • Nicolas Chopin​ (ENSAE, IP Paris) – Synergies between Bayesian Computation and Machine Learning

  • Adriana Tapus​ (ENSTA, IP Paris) – Leveraging Foundation Models for Personalizable Social Robots in Dynamic Environments

  • Andrea Simonetto​​ (ENSTA, IP Paris) – Unlocking Cyber-Physical & Social Systems: Time-varying optimisation, bandits & games with set-valued decisions

Synergy Fellowships

  • Jesse Read​ (École polytechnique & Télécom Paris, IP Paris) – Frugal Agentic Robust Methodology for Streams

  • Jhony H. Giraldo​ (Télécom Paris & Télécom SudParis, IP Paris) – Signal-aware Graph Summarization with GNN Guarantees

This fellowship cohort reflects the depth and diversity of the Hi! PARIS research ecosystem. From advanced AI modeling and optimization to physics-informed and scientific machine learning, intelligent systems and human-centered AI, and complex systems and data-driven analysis, 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.

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