Diplomatische Akademie, Wien
- Machine Learning, Graduate, Syllabus, Evaluation Spring 2026
LMU Munich
- Applied Data Analytics for the Public Sector (ADA Bayern), Graduate and Professional (Fall 2023–Fall 2026)
- Data and Privacy: Theoretical and Empirical Challenges, Graduate (Spring 2022)
- Statistics II for Sociologists, Undergraduate (Spring 2021)
University of Mannheim
Tutorials, Multivariate Analyses, Graduate, Syllabus Evaluations: 2016, 2017, 2018, 2019, 2020
Tutorials, Advanced Quantitative Methods, Graduate, Syllabus Evaluations: 2017, 2018, 2019, 2020
University of California, Berkeley
- Privacy Engineering, Graduate, Syllabus, Evaluation Summer 2020
University of Applied Sciences Ludwigshafen
- Applied Marketing Research, Graduate (in German), Syllabus, Evaluation Spring 2017
Supervision
- Katharina Julia Brenner (M.A., LMU Munich, 2024): “Didaktische Ansätze für Stichprobentheorie im Archivwesen.” Grade 1.0. The thesis resulted in a blended-learning course now taught at the Bavarian State Archives.
Professional Training Workshops
2022: Generative Adversarial Networks Hertie School Data Science Summer School
2021: Introduction to Machine Learning CIVICA Data Science Summer School
June 2019: Big Data and Social Science, 1 day workshop GRADE - Goethe Research Academy for Early Career Researchers, Frankfurt
March 2019: Supervised and unsupervised Machine Learning and Deep Learning, 5 day workshop Bundesbank, Frankfurt
February 2018: Introduction to R, 1 day workshop Geschäftsstelle für Qualitätssicherung Hessen, Eschborn
Testimonials
Best course this semester, thank you! — University of Mannheim
Marcel was extremely good. Kept everyone engaged, curious and alert. I don’t think there was even a single question that he could not answer correctly. He was available all the time, on slack, mail, piazza. — University of California, Berkeley
Wonderful! This tutorial and its corresponding course were my favorite. Marcel is a great teacher, a great speaker, and creates a great classroom environment. He is very supportive and encouraging. I always enjoyed attending and wish there were future tutorials and courses to attend. — University of Mannheim
This is hands down the best course till now, both Daniel and Marcel are excellent teachers and effectively breaks down the concept in understandable concepts easy to consume. — University of California, Berkeley
Marcel is an excellent tutor who knows his stuff very well and animates us students to further engage with quantitative methods. Great Job! — University of Mannheim
Marcel was one of the best tutors I had in my 5 years at German universities. He was very helpful, open for questions, friendly towards students and easy to approach. — University of Mannheim
Excellent course. I felt myself getting more and more employable from one session to the next. Really cool stuff we learn! — University of Mannheim