Julyan Arbel
Scholar

Julyan Arbel

Google Scholar ID: Q7P4K3wAAAAJ
Inria - Univ. Grenoble Alpes
Bayesian deep learningBayesian nonparametricsStatistics
Citations & Impact
All-time
Citations
2,017
 
H-index
19
 
i10-index
29
 
Publications
20
 
Co-authors
101
list available
Resume (English only)
Academic Achievements
  • Associate Editor for AISTATS, Statistics and Computing, Bayesian Analysis, Australian and New Zealand Journal of Statistics, Statistics & Probability Letters, Statistical Methods & Applications, and Computational Statistics & Data Analysis (2020-2023). Organized multiple academic conferences and webinars, such as StatLearn in Grenoble and Bayesian Analysis discussion webinars. Published numerous papers and delivered several academic talks.
Research Experience
  • Currently an Associate Researcher at Inria Grenoble - Rhône-Alpes, part of the Statify team and Laboratoire Jean Kuntzmann at Université Grenoble Alpes. Former postdoc at Bocconi University and Collegio Carlo Alberto, and statistician at Insee.
Education
  • PhD: 2013, Université Paris-Dauphine (Advisors: Judith Rousseau and Ghislaine Gayraud); HDR (French post-doctoral degree): 2019; Graduated from École Polytechnique and ENSAE.
Background
  • Research Interests: Bayesian Statistics, Bayesian Machine Learning, and their applications in environmental science and neuroscience. Specialties: Approximations and computation in Bayesian statistics, nonparametrics, extreme value theory, objective Bayes methods, Bayesian neural networks, variational inference.
Miscellany
  • Personal Interests: Spending time with family, hiking, biking, skiing, and singing. Strives to fly less.