Anass B. El-Yaagoubi
- Postdoctoral Research Fellow, Statistics
- Ph.D., Statistics
Biography
Anass B. El-Yaagoubi is a postdoctoral researcher in Statistics in the Biostatistics research group led by Professor Hernando Ombao at KAUST. His research focuses on statistical methods for analyzing complex data, including brain signals and other high-dimensional datasets.
His work explores approaches for modeling and understanding patterns in multivariate data, with applications in neuroscience and other fields that rely on the analysis of large and complex datasets.
Research Interests
- Topological ranking.
- Data analysis.
- Brain signals .
- Generative Adversarial Networks .
- Topological ranking.
Qualifications
Education
- Doctor of Philosophy (Ph.D.)
- Statistics, KAUST (King Abdullah University of Science and Technology), Saudi Arabia, 2022
- Master of Engineering (M.Eng.)
- Computer Science, Institut national des Sciences appliquées de Rouen, France, 2019
- Master of Science (M.S.)
- Data Science, Normandie University, France, 2019
- Bachelor of Science (B.S.)
- Mathematics with Computer Science, Université Laval, Canada, 2017
- English
- Full professional proficiency
- Arabic
- Native or bilingual proficiency
- Spanish
- Professional working proficiency
- French
- Native or bilingual proficiency
Languages
Quote
Intellectual curiosity and human creativity are some of the most important qualities a scientist should have in order to understand the world mysteries and solve the toughest scientific challenges.
Selected Publications
- Bourakna, A. E. Y. (2024). Statistical Analysis of Topological Patterns in Dependence Networks of Brain Time Series Data. kaust.edu.sa .
- El-Yaagoubi, A. B., Chung, M. K., & Ombao, H. (2024). Topological Analysis of Seizure-Induced Changes in Brain Hierarchy Through Effective Connectivity. ArXiv Preprint ArXiv:2407.13514.
- El-Yaagoubi, A. B., Chung, M. K., & Ombao, H. (2023). Topological data analysis for multivariate time series data. MDPI.
