Shirley Ho is an American astrophysicist and machine learning expert, currently Group Leader at Simons Foundation and a Professor at New York University, with a visiting appointment at Princeton University.
Group Leader, Cosmology X Data Science, CCA, Simons Foundation
Professor, Department of Physics & Center for Data Science, NYU

Claire Monteleoni is a Choose France Chair in AI and a Research Director at INRIA Paris where she leads the AI Research for Climate Change and Environmental Sustainability (ARCHES) team, and a Professor in the Department of Computer Science at the University of Colorado Boulder (on leave). Her research on machine learning for the study of climate change helped launch the interdisciplinary field of Climate Informatics. She co-founded the International Conference on Climate Informatics, which will hold its 15th annual event in 2026.

Gilles Louppe is computer scientist and professor at the University of Liège, Belgium. He is specializing in artificial intelligence for science and known to be one of the key contributors to scikit-learn. His research efforts are focused 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. He is group leader of the Science with AI Lab (SAIL) at the Montefiore Institute, where he works on a variety of projects across sciences, including particle physics, astronomy, and weather science (see the SAIL group page).

Chris Dallago is Senior Research Scientist in Digital Biology, NVIDIA, and Visiting Assistant Professor in Biostatistics & Bioinformatics, and Cell Biology at Duke University. His work focuses on fast tools for large-scale biological data analysis, such as alignment and prediction software, machine learning models that learn general biological representations, including protein and nucleotide LLMs, and benchmarks, datasets, and frontier tools for evaluating and advancing computational programmable biology.
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