GRENIER

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GRENIER

Master, Signal Processing - Statistics

Emmanuel GRENIER is a professor of Quantitative Methods at NEOMA Business School. An agricultural engineer by training, he is a practitioner and generalist in statistics.  He has taught statistics and data analysis to engineering and business school students, as well as doctoral students and professionals pursuing executive education. He currently teaches applied mathematics and data analysis at NEOMA.  Outside of teaching, he provides advice and support in quantitative methods to his colleagues. He has worked as a statistician in research teams, which has led him to co-publish in international peer-reviewed journals like Risk Analysis. These consultancy activities have led him to acquire expertise in Statistical Process Control, Bayesian statistics, Quantitative Risk Analysis and Structural Equation Modeling.