Emmanuel Vazquez is a researcher in the field of Bayesian design and analysis of computer experiments (Bayesian DACE). He teaches Bayesian statistics at CentraleSupélec. He is also the coordinator of data science projects. In the past, he has also taught functional analysis and probability theory. The design and analysis of computer experiments involves using statistical approaches to solve problems such as approximation, uncertainty quantification, optimization, etc., involving computer programs (or simulators) that emulate physical systems (see, for example, Santner 2003). His work is based on Bayesian sequential decision theory. In the field of computer experiments, the Bayesian approach starts with a prior distribution that represents our prior belief about the structure of the computer model. The use of this approach for computer experiments emerged in the 1980s.