Olivier Roustant

Olivier Roustant is a Full Professor in Applied Mathematics at INSA Toulouse and a member of the Institut de Mathématiques de Toulouse. His academic career spans from teaching in French high schools to his current position as a leading researcher in mathematical engineering.

His research interests focus on probability and statistics, statistical/machine learning, and artificial intelligence, with specific expertise in stochastic modeling, global sensitivity analysis, and computer experiments. Professor Roustant's work on small data analysis has practical applications in complex modeling scenarios.

• Co-PI of the ANITI Chair PILearnWater 'Physics-informed learning methods for continental waters and marine risks'
• Associate editor of SIAM/ASA Journal on Uncertainty Quantification
• Co-director of the double-degree by apprenticeship ModIA program

Professor Roustant has received notable recognition including the 2013 ENBIS Greenfield Challenge (as co-winner) and the 2010 ENBIS Young statistician award. His teaching focuses on mathematics for engineers at L3, M1, and M2 levels, with an emphasis on problem-guided projects and practical data science applications.