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  • Towards Scientific Foundation Models and How They Could Change ML In Survey Astronomy

    AI Science Center Seminar @ Universite de Geneve

  • Towards Scientific Foundation Models and How They Could Change ML In Survey Astronomy

    Talk at SISSA

  • Foundation Models for Science: Myth or Reality?

    SCOPE: Science at the Convergence of AI and Exascale computing 10-11 Mar 2026 Paris (France)

  • Foundation Models for Survey Astronomy

    Spring 2026 CosmicAI Seminar Series Talk, January 2026

  • Building Large Multimodal Foundation Models for Survey Astronomy

    Talk at the AAS 247 special session on Advancing AI Infrastructure for Large Astronomy Datasets.

  • NeurIPS 2025 Uncertainty Quantification Challenge

    FAIR Universe – handling uncertainties and distribution shifts for precision cosmology

  • MultimodalUniverse

    MultimodalUniverse

  • NeurIPS AION-1

    Short talk for NeurIPS

  • Towards Scientific Foundation Models and How They Could Change ML In Survey Astronomy

    Talk at the 2025 IDIES Annual Symposium at Johns Hopkins University

  • Differentiable Forward Models and Efficient Sampling

    Putting the Cosmic Large-scale Structure on the Map: Theory Meets Numerics

  • Differentiable Programming and its Applications in Astro

    Lecture at the 20th Heidelberg Summer School

  • Foundation Models for Astrophysics

    Build Big or Build Smart Workshop, September 2025

  • Foundation Models for Astrophysics

    IAIFI Summer Workshop, August 2025

  • Simulation-Based Inference for Cosmology

    SBI lecture at Les Houches Summer School on the Dark Universe

  • Pretraining Scientific Foundation Models

  • Foundation Models for Astronomy Tutorial

  • Multimodal Foundation Models for Scientific Data

    Polymathic AI talk at FM4Science Conference

  • Foundation Models for Astrophysics

    APS Global Physics Summit, March 2025

  • One Network to Rule Them All

    LINCC Tech Talk, Feb 2025

  • Towards Multidisciplinary Scientific Foundation Models

    Overview talk of the Polymathic AI Initiative