Astrid Jourdan

Current Scientific Activity

My main research topic is the design and the analysis of computer experiments (DACE) especially for time-consuming computer models :

• Experimental designs : Construction of space-filling designs to explore the variation domain of the input parameters
• Sensitivity analysis : Development of statistical methods to determine how the uncertainty in the computer output can be apportioned to different sources of uncertainty in its inputs.
• Metamodeling : Construction of a metamodel (svm, kriging, neural networks,…) to replace a time-consuming computer model (for prediction, optimization, uncertainty quantification)

These last years, I have developed transdisciplinary activities with computer science researchers on few topics such as stochastic optimization , or data mining and dimension reduction in the BigData context.

Summary of Professional Achievments 

I got my PhD from Pau University, France in 2000. After that, I was graduate assistant in the same university. I began to work for a petroleum industry (Total) on their big computer model.

From 2001 to 2003, I worked as postdoctoral researcher in IFP (Institut Français du Petrole) for a consortium of petroleum industries. During this postdoctoral position, I developed statistical tools for scenario management and uncertainty quantification in reservoir production.

Since 2003, I am working as assistant professor in EISTI. My lectures are : Probability, Statistics, Data Mining and fundamentals of mathematics.

Since 2015, I am the head mathematics department.

Mobility across Thematic Areas

Statistics – Sensitivity analysis – Uncertainty quantification – Experimental designs – Data Mining & BigData

Geographic Mobility

France – UK – Belgium – Italy – Vietnam – Thailand