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, time series econometrics, and machine learning. I am particularly interested in how tools and ideas from these fields can be combined to develop new methods for climate data.

I developed the course "Unsupervised Learning with Python" on unsupervised learning, generative modeling, and their application to unstructured data such as text and images. 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

• Time series econometrics

• Forecasting/nowcasting

• Machine learning

• Neural networks