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Academic committee

The AMLD Academic committee plays a vital role in shaping the intellectual foundation of the Applied machine learning days, AMLD EPFL 2025, conference. This dedicated group is responsible for reviewing and selecting the proposals for tracks at workshops. Their primary focus is to evaluate submissions based on quality, impact, and contribution to the field of AI and applied machine learning. Through a rigorous review process, the committee ensures that the conference program reflects the latest advancements and fosters meaningful discussions.
We are grateful for their expertise and commitment in helping make this conference a leading forum for AI professionals, researchers, and industry leaders.

Prof. Alexandre Alahi EPFL AI Center
Prof. Olga Fink EPFL AI Center
Prof. Nicolas Flammarion EPFL AI Center
Prof. Pascal Frossard EPFL AI Center
Prof. Josie Hughes EPFL AI Center
Prof. Martin Jaggi EPFL AI Center
Prof. Alexander Mathis EPFL AI Center
Prof. Marcel Salathé EPFL AI Center
Prof. Philippe Schwaller EPFL AI Center