Nicolas Chopin

Nicolas Chopin is a Full Professor of Data Sciences at ENSAE, Institut Polytechnique de Paris. He is a permanent member of CREST and co-author of the book An Introduction to Sequential Monte Carlo with Omiros Papaspiliopoulos.

His research focuses on Bayesian computation, particularly Sequential Monte Carlo, Markov chain Monte Carlo, and Variational inference, with applications in probabilistic machine learning and statistical algorithms.

He has served as Associate Editor for multiple journals, including the Annals of Statistics, Biometrika, and the Journal of the Royal Statistical Society (Series B). His scientific contributions include developing the open-source Python library particles for sequential Monte Carlo methods.

• Awards:
  • Savage award for best doctoral dissertation in Bayesian Statistics (2002)