Teaching

Supervision

PhD Students

Tilman Bretschneider: I am co-supervising Tilman. He is very ambitious and interested in econometric theory, particularly in treatment effects and imputation. He even won the Econometric Game—a big achievement in its own right! Stay tuned to see Tilman's work!

Lecturer

2025 - Public Economics (Master's course in Economics, University of Liverpool)

Co-lecturer - A simple introduction to causal inference with some applications in Stata.

2025 - Deep Learning and Artificial Intelligence Methods (Master's course in Statistics, Lund University)

Co-lecturer in a course teaching the fundamentals of deep learning and neural networks.

2024-2025 - Derivative Securities (Bachelor in Finance/Economics, University of Liverpool)

Sole lecturer covering the foundation of derivative securities.

2022-2023 - Econometric Theory (Ph.D. course in Economics, Lund University)

Developed three lectures on machine learning applications in economics, focusing on regularization techniques and inference challenges. Covered double machine learning with Python.

2021-2023 - Working with Databases (Master's course in Data Analytics, Lund University)

Designed lectures on SQL integration with RStudio, teaching students data cleaning and forecasting techniques.

2021-2023 - Introduction to Econometrics (Bachelor in Economics, Lund University)

Introduced statistical and econometric concepts, covering probability theory and regression analysis for time-series and panel data.

Teaching Assistant, Lund University

Master of Economics

2020-2023 - Advanced Econometrics (Master's Level)
2020-2023 - Econometric Theory (PhD Level)

Master of Finance

2021-2023 - Foundations of Finance (Master's Level)

Master's of Data Analytics and Business Economics

2021-2023 - Machine Learning from a Regression Perspective (Master's Level)
2023 - Advanced Machine Learning (Master's Level)

Bachelor of Economics

2020-2022 - Introduction to Econometrics

Yousef Kaddoura