Current situation

I am a Maître de conférences at the Université de Bordeaux. I do my research activities in biostatistics in the Bordeaux Population Health Research Center (INSERM U1219) in the Biostatistics Team. I teach in the Unité de Formation Mathématiques et Intéractions.


E-mail: Antoine.Barbieri@u-bordeaux.fr

Curriculum Vitæ

Short Curriculum Vitæ in English

Download it (updated in early 2019)

Research interests

Latent variable regression models for medical applications.

Post-doctoral research at the INSERM

From February 2016 to August 2017, I was postdoctoral researcher at the INSERM in the Centre de Recherche des Cordeliers (UMRS1138) in Paris. Under the supervision of Anne-Sophie Jannot and Sarah Zohar and in collaboration with the Hopital Européen George Pompidou, I focused on relationship between the time to disease progression and the administration of chemotherapy doses in the FOLFIRI protocol using data warehouse.

Keywords: joint modeling, latent class models, multivariate longitudinal outcomes, survival analysis, Bayesian variable selection, routine medical data.
(See the "Scientific Productions" section for additional information)

Post-doctoral research at the Université catholique de Louvain

From October 2016 to December 2017, I was postdoctoral researcher at the Université Catholique de Louvain (UcL, Belgium) in the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA). Under the supervision of Catherine Legrand, I focused on the prediction of being cured for censored subjects in time-to-event analysis. Assuming that longitudinal outcomes are available and informative on the risk to develop the event, we explored different joint longitudinal-survival-cure models.

Keywords: joint modeling, mixture cure model, longitudinal outcomes, survival analysis, predictions, MCMC methods, Bayesian inference.
(See the "Scientific Productions" section for additional information)

Ph.D. research at the Université de Montpellier and the Montpellier Cancer Institute

Under the supervision of Christian Lavergne (IMAG) and Caroline Mollevi (ICM), I focused my PhD research on the longitudinal analysis of the health-related quality of life (HRQoL) in oncology. For this, I studied different latent variable models for different analysis aims.

Keywords: IRT models, mixed models, ordinal data, structural equation modeling, mixture models, classification, latent trajectories, EM algorithm, longitudinal analysis, cancer clinical trials.
(See the "Scientific Productions" section for additional information)

Additional research