The Hi! PARIS AI Seminar Cycle is a monthly series showcasing leading research in Artificial Intelligence and Data Science. Held on the first Wednesday of each month, it brings together top scholars, students, and partners to explore AI’s scientific, business, and societal impact across key themes such as foundation models, trustworthy AI, and AI for science and engineering.
From October 19 to 25, Hi! PARIS researchers will be in Honolulu, Hawaii, for the International Conference on Computer Vision (ICCV 2025), one of the most important gatherings worldwide in the field. 10 papers from Hi! PARIS affiliated teams have been accepted this year, a recognition of the quality of our work across partner institutions.
The Career Fair event organized by Hi! PARIS Center offers our students the opportunity to identify potential future internships and job opportunities in AI and Data Science, receive career advice, and engage in discussions with the participating companies and startups.
We are proud to announce that Anna Korba, Assistant Professor in Statistics at CREST-GENES, Professor at ENSAE Paris, and Hi! PARIS Affiliate, has been awarded a European Research Council (ERC) Starting Grant for her project OptInfinite.
Optimal Transport for Machine Learning is in the spotlight of the Hi! PARIS Reading groups in October-December 2025, a scientific networking action gathering affiliates and corporate donors around important topics of the moment!
At this year’s Hi! PARIS Summer School, Anna Korba (ENSAE Paris) took a fresh look at Langevin diffusions, an old idea from physics that’s quietly becoming central to generative modeling. As machine learning and mathematics increasingly overlap, she invites us to pay closer attention to what’s happening under the hood of today’s most talked-about models.
AI is no longer a support tool in biology, it’s becoming a scientific partner.”
At the Hi! PARIS Summer School 2025, Jean-Philippe Vert (Bioptimus) explored how AI is impacti biomedical research. From protein folding breakthroughs like AlphaFold to in silico simulations of disease, Vert made the case for a new era where biology’s complexity meets AI’s learning power. The next frontier? Models that understand life across molecules, cells, and entire organisms.
Ioannis Stefanou, new Hi! PARIS Chair-holder and Professor at ENSTA, is combining AI, mechanics, and physics to advance the energy transition. His work explores how technologies like geothermal energy and hydrogen storage can be modeled through physics-informed AI, creating smarter, more sustainable systems for the future.
Luiz Chamon, new Hi! PARIS Chair-holder at École polytechnique, focuses on making AI trustworthy by design.
His work rethinks how intelligent systems learn, embedding fairness, safety, and robustness from the start to ensure AI serves society responsibly.
How is AI changing the way we think about financial markets? In this talk, Charles-Albert Lehalle draws on experience across academia and industry to explore what’s really shifting, from the use of alternative data to the role of retail investors.