Élisabeth Gassiat

Élisabeth Gassiat (née Granier,[1] born 1961) is a French mathematical statistician whose research interests include maximum likelihood estimation for mixture models, latent variables, high-dimensional structured data, the relation between statistics and coding theory, and the statistics of sequence data over finite alphabets.

[2] In 1987 she completed a Ph.D. through Paris-Sud University with the dissertation Blind deconvolution supervised by Didier Dacunha-Castelle.

[3] Gassiat became a senior member of the Institut Universitaire de France in 2020.

[1] A three-day conference in honor of Gassiat's 62nd birthday was held at the Institut de Mathématique d'Orsay in 2023.

[5] Gassiat is the author of the book Universal Coding and Order Identification by Model Selection Methods (Springer Monographs in Mathematics, 2018, translated by Anna Ben-Hamou from a 2014 French edition).