Hicham Labeni

• • Developed predictive modeling experiments on financial time-series data using Python and statistical learning methods.

• • Implemented and compared regression models including OLS, Ridge, and Lasso using chronological and walk-forward validation strategies.

• • Performed exploratory data analysis and evaluated predictive stability across multiple lag structures and volatility-based features.

• • Built and tested data preprocessing and validation workflows for weak-signal detection tasks on sequential datasets.

• • Delivered weekly sessions in probability, statistics, and linear algebra with emphasis on analytical reasoning and quantitative problem solving.

• • Conducted research in differential geometry with focus on curvature structures and geometric analysis.

• • Led applied problem-solving sessions in algorithms, statistics, linear algebra, mathematical analysis, and differential equations, emphasizing rigorous mathematical analysis and quantitative reasoning.

Research in infinite-dimensional geometry using functional analysis, Sobolev spaces and differential operators. Developed strong analytical, mathematical modelling and problem-solving skills.