people

The Science with AI Lab (SAIL) is a research group hosted at the Montefiore Institute of the University of Liège, Belgium. We are a team of researchers working on the development of deep learning models and statistical methods for scientific applications, with a strong emphasis on (Bayesian) inverse problems in the physical sciences. Our research spans a variety of scientific domains, including particle physics, astronomy, neuroimaging, weather science and oceanography.

Team members

Gilles Louppe

Principal investigator

François Rozet

PhD student (since 2021)

diffusion models inverse problems data assimilation

Omer Rochman

PhD student (since 2021)

neural emulators physics

Gérôme Andry

PhD student (since 2023)

diffusion models data assimilation weather

Victor Mangeleer

PhD student (since 2023)

neural emulators data assimilation oceanography

Sacha Lewin

PhD student (since 2023)

neural operators neural emulators

Adrien De Voeght

PhD student (since 2023)

variational autoencoders healthcare immunology

Lénea Silva Luís

PhD student (since 2024)

simulation-based inference particle physics

Elise Faulx

PhD student (since 2025)

neural emulators data assimilation weather climate

Fanny Bodart

PhD student (since 2025)

inverse problems neuroimaging

Thomas Savary

Intern (since 2025)

diffusion models filtering weather

Alumni

Malavika Vasist

PhD student (2019-2025)

simulation-based inference astronomy exoplanets

Arnaud Delaunoy

PhD student (2020-2025)

simulation-based inference bayesian deep learning

Maxime Quesnel

PhD student (2019-2024)

inverse problems astronomy wavefront sensing

Norman Marlier

PhD student (2018-2023)

simulation-based inference robotics

Antoine Wehenkel

PhD student (2018-2022)

simulation-based inference normalizing flows diffusion models

Joeri Hermans

PhD student (2017-2022)

simulation-based inference cosmology