Sebastian Jensen

I am an Assistant Professor at the Department of Economics and Business Economics, Aarhus University, Denmark, and a research fellow at the Center for Research in Energy: Economics and Markets (CoRE).

My research interests are centered around climate econometrics and machine learning. I am particularly interested in how tools and ideas from the two fields can be combined to develop new methods that suit the needs of a researcher working with climate data.

I am becoming increasingly interested in unsupervised learning, generative modeling, and their application to unstructured data such as text and images. For this reason, I developed the course "Unsupervised Learning with Python". The course contains an interactive introduction to the Python programming language using Colab Notebooks, which can be found here.

My research areas can be summarized as follows:

• Climate econometrics

• Machine learning

• Neural networks

• Time series econometrics

• Forecasting/nowcasting