External Collaborator
Email: younes.ommane@um6p.ma | website: https://orcid.org/0000-0001-6827-2967
A seasoned biostatistician and data scientist with a Bachelor of Science in Applied Mathematical Sciences from Cadi Ayyad University and PhD in Bayesian statistical decision theory, from the same university, during which he spent a research training at Sherbrooke University in Canada. He received his Master’s in Computer Science, Statistics, and Mathematics Applied to Production Management from the University of Toulouse Jean-Jaures. Afterward, he spent his postdoc in Machine learning and data analysis at the College of Computing at UM6P, in the framework of a project entitled:” Digital farming”, in collaboration with IDSS-MIT and CESFRA-UM6P teams in favor of the business unit AgriEdge, He possesses comprehensive expertise in biostatistics, particularly in randomized controlled trials, internal and external validity, and statistical and AI solutions for healthcare. His research interests span the design of experiments in clinical trials, time series forecasting and analysis for Sleep/wake scoring, image segmentation, Association studies for Epidemiology, Genomics, Neuroscience, and Proteomics, employing various AI and machine learning techniques. Dr. Younes OMMANE has an extensive academic experience, teaching a variety of statistics and data science subjects at the Faculty of Medical Sciences, School of Collective Intelligence and College of Computing at Mohammed VI Polytechnic University and Ecole Centrale de Casablanca and ENCG Marrakesh, among other institutions. He has contributed to the field through publications, book chapters, and conference presentations worldwide.
Research Interests
Biostatistics, Artificial Intelligence, Design of Clinical Trials, Survival Analysis and Design of Experiments