معرفی
Julyan Arbel is an Associate Researcher (chargé de recherche) at Inria Grenoble in the Statify team and a member of Laboratoire Jean Kuntzmann at Université Grenoble Alpes. He holds a PhD in Applied Mathematics from Université Paris-Dauphine and graduated from École Polytechnique and ENSAE. He defended his Habilitation à Diriger des Recherches (HDR) in 2019.
Research Interests
His work spans Bayesian Statistics (approximations, computation, nonparametrics, extreme value theory, objective Bayes) and Bayesian Machine Learning (Bayesian neural networks, variational inference), with applications in environmental science and neuroscience. Key focus areas include:
- Statistical methods for ecological modeling and species distributions
- Integration of biotic interactions in predictive frameworks
- Bayesian approaches to machine learning challenges
Publications Overview
Recent articles (2022-2025) demonstrate a strong focus on statistical ecology, including species distribution modeling, biotic interactions, community ecology, and biodiversity conservation. Methodological innovations center on joint species distribution models and Bayesian computational techniques applied to environmental datasets.
Academic Service
- Associate Editor: Statistics and Computing (2025–present)
- Associate Editor: Bayesian Analysis (2019–present)
- Associate Editor: Australian and New Zealand Journal of Statistics (2019–present)
- Associate Editor: Statistics & Probability Letters (2019–present)
- Associate Editor: Statistical Methods & Applications (2024–present)
- Former Associate Editor: Computational Statistics & Data Analysis (2020–2023)
Students
Supervised PhD students:
- Giovanni Poggiato
- Daria Bystrova
- Minh Tri Lê
- Théo Moins
Teams
- Statify Research Team, Inria Grenoble
- Laboratoire Jean Kuntzmann, Université Grenoble Alpes
