Essoham Ali

Essoham Ali is a Researcher at the Catholic University of the West (Angers), affiliated with the Faculty of Sciences. He is part of the Mathematics Laboratory of Atlantic Brittany (LMBA) UMR 6205. His research focuses on marginal models, count data analysis with zero inflation, and machine learning techniques for classification in high-dimensional settings. Applications of his work span environmental science, health economics, and medicine.

He has presented his research in seminars, including a January 2024 talk on the MAY team's activities. His recent publication addresses multicollinearity in count data using ridge-penalized models. He can be contacted at eali@uco.fr.