Research

Research Interest

I am working at the intersection of machine learning and sustainable transport research. My interests include also applied econometrics, AI and spatio-temporal applications of statistics.

Working Papers

Predicting cycling traffic in cities: Is bikesharing data representative of the cycling volume?

With Lynn H. Kaack and Nadja Klein Link

• Poster presented at the Workshop “Tackling Climate Change with Machine Learning: Global Perspectives and Local Challenges” at ICLR 2023 Link

• A prediction of cycling volume in Berlin, using the methods described in the paper, can be found here for the whole city of Berlin, and a streetwise prediction for a subpart of Berlin:

Miscellaneous

Podcast: Environment Variables - Academic Forefronts, from Green Software Foundation 05/09/24, Link.

Opinion piece: “Pedalling Towards a Greener Future”, in CATALYSE 08/09/23, Link.