Design of a custom case for your digital stylus. I use it every day and created it with FreeCAD.

Slides and materials for my mini Machine Learning course at Princeton University’s Datta Lab.

My presentation notes for a seminar that I recently gave at the University of Edinburgh on dense representation learning for financial applications.

I used an app to capture my daily streching for 6 months and present the quantitative results in form of a figure.

Supplementary materials for my rC3 2021 contribution “Optimising public transport: A data-driven bike-sharing study in Marburg”.

Interactive versions of the Nextbike transition matrix figure from previous blog articles.

A quantitative update of the parking demand in Marburg during the Corona pandemic 2020.

In this article, I use machine learning to predict the number of parked bikes in two ways.

I use quantitative analyses to derive social and environmental benefits of the Nextbike system in Marburg. Also, I investigate which routes in Marburg are popular among Nextbike users. Hence, I offer quantitative arguments as to why bikes are good for Marburg and how to improve the biking experience in Marburg even further.

In this article, I draw quantitative conclusions for cyclists who use Nextbikes in Marburg. For these quantitative conclusions, I use Nextbike data that I previously scraped.