I am a Ph.D. Student and Research Assistant in Quantitative Marketing at Goethe University Frankfurt. My research focuses on the interface between Data Science and Marketing. I like applying modern econometric methods to novel data sources in the digital economy—especially with the R programming language.

In my research project Measuring Self-Preferencing on Digital Platforms, we develop an approach to test for self-preferencing through platform recommendations.

Do Political Conflicts Influence Daily Consumption Choices?”—just published in the Journal of Economic Behavior and Organization—combines vast smartphone location data and textual analysis of newspaper articles to assess the impact of political conflict on consumption.

For the newest project, we created a Generative AI app that provide personalized feedback to students. In the paper Generative AI for Scalable Feedback to Multimodal Exercises in Marketing Analytics we describe how well that works (spoiler: quite well!)

I am an expert in the R programming language and love teaching R to Bachelor’s, Master’s and Ph.D. students, using the language in my research, and even for designing this website.

In my free time, I help preparing the next generation for the digital future as a member of the supervisory board at TechAcademy e.V., a non-profit organization teaching coding and promoting tech literacy.

On this website, you will find information about my Academic Research and Teaching, my Curriculum Vitae, and my passion project—TechAcademy e.V..

You can contact me via LinkedIn or

Upcoming Talks

Lukas Jürgensmeier presenting at EMAC Conference 2022 in Budapest

Lukas Jürgensmeier presenting at EMAC Conference 2022 in Budapest

I’ll be presenting my research at the following scheduled conferences: