معرفی
Meryem Schalck is an Assistant Professor of Data Science at IPAG Business School in Nice, France. She earned her PhD in Economic Sciences from the University of Orléans (2022) and has over 15 years of professional experience in the insurance sector as a Data Scientist. Her research focuses on applying AI and machine learning techniques to financial fraud detection, survival analysis, and econometric models in insurance.
Research and Publications: Her recent work includes developing fraud scores for automobile insurance using cross-data analysis and predicting SME failures in France with machine learning methods, published in journals like Research in International Business and Finance and Applied Economics.
Teaching Expertise: She teaches courses on AI, digital technologies, and statistical analysis for business management across IPAG's PGE, BBA, and MSc programs. Her pedagogical interests include NO CODE tools and business games.
Professional Background: Prior roles include Senior Manager at Addactis (pricing software expertise), consultant at Fraeris, and actuarial roles at GI Analytics (Aviva) and Tricast, specializing in predictive modeling and SAS-based statistical tools.
