Emmanuel Grenier

Emmanuel Grenier is an Assistant Professor at NEOMA Business School, specializing in Quantitative Methods and Statistics. He holds a Master's degree in Signal Processing - Statistics and has extensive experience in both academic and applied statistical research.

• Affiliation: NEOMA Business School (France)
• Academic Role: Assistant Professor
• Research Expertise: Bayesian Statistics, Quantitative Risk Analysis, Structural Equation Modeling

His research focuses on interdisciplinary applications of statistics in business, healthcare, and food safety. Key contributions include:

• Developing Bayesian frameworks for risk assessment
• Advancing Partial Least Squares Path Modeling (PLS-PM)
• Consulting in Statistical Process Control for industry partners

Recent publications demonstrate trends in:

• Bayesian networks for operational risk
• Behavioral prediction models
• Food safety epidemiology

He has also contributed to statistical education through book chapters on:

• Descriptive statistics
• ANOVA techniques
• Regression analysis