Julie Bessac

Computational Statistician
National Laboratory of the Rockies, Golden, CO, USA
Computational Science Center - Data, Analysis and Visualization Group
julie.bessac at nlr.gov

Adjunct Professor
Virginia Tech, Blacksburg, VA, USA
Department of Statistics
Academy of Data Science
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 Laboratory of the Rockies, 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

Spring 2026: Virginia Tech

Statistical Learning (ADS-STAT 5525) - Scroll to the bottom for all lecture notes

Fall 2025, Fall 2023: Virginia Tech

Applied Time Series (STAT 4534-5664)

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

Lecture Notes for Statistical Learning (ADS-STAT 5525)

Week 1 - Introduction to Statistical Learning

Week 2 - Exploratory Data Analysis

Week 3 - Statistical Models

Week 4 - Regression Models - Part 1