Julie Bessac

Computational Statistician
National Renewable Energy Laboratory, Golden, CO, USA
Computational Science Center - Data, Analysis and Visualization Group
julie.bessac at nrel.gov

Adjunct Professor
Virginia Tech, Blacksburg, VA, USA
Department of Mathematics
jbessac at vt.edu

Julie Bessac

Research

Google Scholar Profile

Research interests: Statistical modeling and learning (spatiotemporal, multivariate, complex systems), Uncertainty quantification, Statistical validation methods, State-space models, Clustering, Deep learning, Statistics for AI/ML

Background

2023--... Computational Statistician at the Computational Science Center at National Renewable Energy Laboratory, Golden, CO, USA.

2017--2023 Computational Statistician at the Mathematics and Computer Science division at Argonne National Laboratory, Lemont, IL, USA.

2014--2017 Post-doctoral appointment at the Mathematics and Computer Science division at Argonne National Laboratory, Lemont, IL, USA, under the supervision of Mihai Anitescu and Emil Constantinescu

2011--2014 PhD in Applied Mathematics, University of Rennes 1, Rennes, France, under the supervision of Valerie Monbet and Pierre Ailliot

2010--2011 Master in Probability and Statistics, University of Rennes 1 and Ecole Normale Superieure de Cachan, Antenne de Bretagne, Rennes, France.

2009--2010 Agregation de Mathematiques, University of Rennes 1 and Ecole Normale Superieure de Cachan, Antenne de Bretagne, Rennes, France.

2005--2009 Graduate (Bachelor and Master) in Mathematics, Magistere de Mathematiques , University of Rennes and Ecole Normale Superieure de Cachan, Antenne de Bretagne, Rennes, France.

Teaching

Fall 2023: Virginia Tech

Applied Time Series

Sept. 2018: The University of Chicago

Bootcamp "Introduction to the Statistics of Spatial Data"

2012-2014: National School of Statistics and Analysis of Information (ENSAI), Rennes

Tutoring on: statistical tests ; measure theory and probability ; Markov chains

2011-2012: Faculty of Economics, Universite de Rennes 1, Rennes

Tutoring on: data analysis ; inferential statistics ; Microsoft Office softwares