Sebastian Mathias Jensen is a Postdoc at the Department of Economics and Business Economics, Aarhus University. He is a research fellow at the Center for Research in Energy: Economics and Markets (CoRE). He holds a PhD in Economics and Business Economics from Aarhus University (2021).
Sebastian is particularly interested in how econometrics and machine learning can be combined to develop new methods for climate data. For example, he has developed a panel data methodology that combines fixed effects with a neural network regression component for investigating the relationship between national-level income and CO2 emissions. He is also working on combining machine learning methods and filtering techniques (including the Kalman filter) to improve ENSO forecasts.
Sebastian is teaching Unsupervised Learning with Python for Master's students in Economics and Business Administration. The course provides students with a theoretical understanding of important topics (including generative modeling), and enables students to apply the tools in practice using Python.
Sebastian also undertakes supervision of bachelor theses and master theses.
Sebastian has previously co-taught Business Statistics for Bachelor's students in Economics and Business Administration.
