Biography
I am a PhD candidate at the Chair of Applied Statistics at the Freie Universität Berlin. I am currently working on network analysis, in particular the extension and application to signed networks.
Interests
- Network Analysis
- Artificial Intelligence
- Computational Statistics
Education
PhD in Applied Statistics, ongoing
Free University Berlin
MSc in Statistics & Data Science, 2023
Ludwig-Maximilians University Munich
BSc in Business Administration, 2020
European-University Viadrina
Publications
Teaching
Courses
- Causal Machine Learning (2025 and 2026, Teaching Assistant, graduate level)
Workshops
- Foundations of Statistics (1-day workshop)
- Introduction to Python (2-day workshop)
- Introduction to R (2-day workshop)
- Introduction to Statistical Learning (1-day workshop)
Tutorials
- Statistical Modeling of Signed Networks with ergm.sign (3-hour workshop, EUSN 2026, with Cornelius Fritz)
Media
Our FIFA World Cup prediction models, including Elo ratings, Dixon–Coles, and random forests, received coverage across major German media outlets ahead of the 2026 FIFA World Cup.
We built a Monte Carlo simulation to predict the outcomes of the 2026 FIFA World Cup — who will lift the trophy?
Contact
- m.schalberger@fu-berlin.de
- +49 30/838 71795
- Garystraße 21 (Room 309), Berlin, 14195