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Professor Sami Stouli specializes in Econometrics, focusing particularly on Policy Evaluation, Machine Learning, and Data Science. His extensive research projects include managing the Policy Treatment Evaluation Model and addressing issues pertaining to Model Uncertainty. As a Principal Investigator, he is currently overseeing research into Distributional Impact Analysis, which has significant implications for how policy impacts are understood and assessed. Professor Stouli has a proven track record in thesis supervision, guiding students in topics such as transaction networks of digital currencies. His work emphasizes the importance of valid instrumental variables in econometric analysis. With a role in both academia and research, he contributes to innovative approaches in the economic evaluation of policies, aiming to derive meaningful insights that can influence decision-making in various contexts.
Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.