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Justine Zeghal

Postdoctoral Fellow
Université de Montréal
justine.zeghal (at) umontreal.ca

About Me

I am a Postdoctoral Fellow at Ciela Institute, the department of Physics of Université de Montréal and Mila, working with Prof. Laurence Perreault-Levasseur and Prof. Yashar Hezaveh. My research focuses on developing and leveraging machine learning methods to tackle complex challenges in cosmology, pushing the boundaries of what we can learn about the Universe. In a broader sense, I am deeply passionate about exploring ways to bridge physics with machine learning to drive scientific discoveries.

Prior to joining the University of Montreal, I earned my PhD in cosmology and machine learning at Université Paris Cité, supported by a diiP scholarship. I conducted my research under the supervision of Dr. François Lanusse, Dr. Alexandre Boucaud, and Dr. Eric Aubourg.

Research Interests

Selected Publications

  1. A&A
    Simulation-Based Inference Benchmark for LSST Weak Lensing Cosmology
    Justine Zeghal*, Denise Lanzieri, François Lanusse, Alexandre Boucaud, Gilles Louppe, Eric Aubourg, Adrian E. Bayer, and The LSST Dark Energy Science Collaboration (*Corresponding authors)
    Astronomy & Astrophysics (A&A), 2023.
    ARXIV Code

  2. A&A
    Optimal Neural Summarisation for Full-Field Weak Lensing Cosmological Implicit Inference
    Denise Lanzieri, Justine Zeghal*, T. Lucas Makinen, Alexandre Boucaud, Jean-Luc Starck, and François Lanusse (*Corresponding authors)
    Astronomy & Astrophysics (A&A), 2023.
    ARXIV

  3. ICML ML4Astro
    Neural Posterior Estimation with Differentiable Simulators
    Justine Zeghal*, François Lanusse, Alexandre Boucaud, Benjamin Remy, and Eric Aubourg (*Corresponding authors)
    ICML 2022 Workshop on Machine Learning for Astrophysics (ICML ML4Astro), 2022.
    ARXIV