Yassine Regayeg

About

Yassine Regayeg is pursuing a Ph.D. in Statistics at King Abdullah University of Science and Technology (KAUST).

Education and Early Career:

After completing two years at the Preparatory Institute for Engineering Studies El Manar (IPEIEM) in Tunis, he ranked 18th nationwide in the engineering school entrance exams. This achievement led to a dual engineering degree from the National Engineering School of Tunis (ENIT) and ENSTA Paris. Alongside his engineering studies, he earned a Master's degree in Data Science from the Institut Polytechnique de Paris.

Detailed research interests :

• Statistical Machine Learning: Developing and analyzing probabilistic models, with an emphasis on insert specific niche like Bayesian inference, reinforcement learning, or generative models. He aims to establish theoretical foundations for modern algorithms to ensure reliability and interpretability in automated decision-making.
• Computational Statistics & Optimization: Designing efficient algorithms for large-scale data problems. Drawing on my background in applied mathematics.
• Applied Data Science: Leveraging advanced analytics to solve complex, real-world engineering problems, particularly in domains involving insert application area.

Education Profile:

• M.S. in Data Science Institut Polytechnique de Paris
• Dual Degree in Engineering (Diplôme d'Ingénieur) National Engineering School of Tunis (ENIT) & ENSTA Paris
• Preparatory Classes for Engineering Schools Preparatory Institute for Engineering Studies El Manar (IPEIEM), Tunis      
  Highlight: Ranked 18th nationwide in the National Engineering Entrance Exam.