معرفی
Dr. Mahdi Ebrahimi Kahou is an Assistant Professor of Economics at Bowdoin College, where he researches the intersection of macroeconomics, computational methods, and machine learning. His work focuses on high-dimensional decision-making processes under uncertainty using advanced computational techniques.
Research Approach: By integrating machine learning methodologies like deep learning with traditional economic modeling, Dr. Kahou addresses complex problems in macroeconomic dynamics and decision-making. His interdisciplinary approach bridges economics, statistics, and computer science.
Teaching: He teaches courses in macroeconomics (ECON 2556) and develops computational economics curriculum incorporating modern data science techniques. His GitHub repositories include teaching materials on quantitative economics.
Educational Background: While specific degrees aren't listed, his academic journey includes physics training prior to transitioning to economics.
