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The goal of the fourth annual AI+Science Summer School is to introduce a new generation of diverse, interdisciplinary graduate students and postdocs to the emerging field of AI+Science. We also hope this program can build community across institutions and spur new research directions focused on AI-enabled scientific discovery across the physical and biological sciences.

The program is organized by the Eric and Wendy Schmidt AI in Science Fellowship program at the University of Chicago (a Schmidt Sciences program), and the Centre National de la Recherche Scientifique (CNRS) Center on AI for Science and Science for AI (AISSAI), and the University of Chicago Data Science Institute. Each day will have scheduled talks and tutorials/demonstrations/skills workshops, and the remaining time will be open for panels, posters, discussions, and networking activities.

Registration is now closed.

Contact Information:  Marisa Davis – marisa.davis@uchicago.edu

         

 

View agenda here.

Agenda

Monday, June 30, 2025

9:00 am–9:30 am

Welcome Address

9:30 am–10:30 am

Marylou Gabrié: Accelerating Probabilistic Inference with Generative Modelling

10:30 am–11:00 am

Break

11:00 am–12:00 pm

Marylou Gabrié

12:00 pm–1:30 pm

Lunch Break

1:30 pm–2:30 pm

Pierre Baldi: Foundations of ML

2:30 pm–3:00 pm

Break

3:00 pm–4:00 pm

Pierre Baldi: AI and Medical Imaging

4:00 pm–6:00 pm

Welcome Reception

Tuesday, July 1, 2025

9:30 am–10:30 am

Stéphanie Allassonnière: Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

10:30 am–11:00 am

Break

11:00 am–12:00 pm

Stéphanie Allassonnière

12:00 pm–1:30 pm

Lunch Break

1:30 pm–2:30 pm

Julie Josse: Personalised Treatment Recommendation Through Causal and Federated Learning

2:30 pm–3:00 pm

Break

3:00 pm–4:00 pm

Julie Josse

4:00 pm–6:00 pm

Poster Presentation

6:00 pm–8:00 pm

Dinner with a Presenter (Optional, Sign up only)

Wednesday, July 2, 2025

9:30 am–10:30 am

Vicky Kalogeiton: Multimodal Generative AI

10:30 am–11:00 am

Break

11:00 am–12:00 pm

Vicky Kalogeiton

12:00 pm–1:30 pm

Lunch Break and Panel Discussion

1:30 pm–3:00 pm

Poster Session

Thursday, July 3, 2025

9:30 am–10:30 am

Kyle Cranmer: Simulation-Based Inference

10:30 am–11:00 am

Break

11:00 am–12:00 pm

Kyle Cranmer

12:00 pm–1:00 pm

Lunch Break

1:00 pm–3:00 pm

Bruno Loureiro: An introduction to statistical physics of learning

3:00 pm–3:30 pm

Break

3:30 pm–5:30 pm

François Lanusse: Generative AI for Probabilistic Forecasting and Inverse Problems

Friday, July 4, 2025

9:30 am–10:30 am

Julien Le Sommer: Leveraging Hybrid Modelling and Differentiable Programming for Improving Climate Models

10:30 am–11:00 am

Break

11:00 am–12:00 pm

Julien Le Sommer

12:00 pm–12:30 pm

Closing Remarks

Speakers

Stéphanie Allassonnière

Université Paris Cité

Pierre Baldi

University of California, Irvine

Kyle Cranmer

University of Wisconsin - Madison

Marylou Gabrié

Laboratoire de Physique (LPENS) at École Normale Supérieure

Julie Josse

Institut National de Recherche en Sciences et Technologies du Numérique

Vicky Kalogeiton

École Polytechnique

François Lanusse

CNRS / Flatiron Institute

Julien Le Sommer

CNRS / Université Grenoble Alpes

Bruno Loureiro

CNRS / École Normale Supérieure

Organizers

Rebecca Willett

Faculty Director of AI, Data Science Institute; Worah Family Professor in the Wallman Society of Fellows, Department of Statistics, Computer Science, and the College

Gabriel Peyré

CNRS / École Normale Supérieure

Jalal Fadili

CNRS / École Nationale Supérieure d'Ingénieurs de Caen
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