Marc Schalberger

Marc Schalberger

PhD Candidate in Statistics

FU Berlin

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

Conferences

European Conference on Social Networks
RSS International Conference 2025
Joint Statistical Meetings 2025
Sunbelt Conference 2024

Software

  • ergm.sign: R package on CRAN to estimate, simulate, and assess the fit of Signed Exponential Random Graph Models.
  • bigsergm: R package on GitHub providing a toolbox to analyze and simulate large signed networks under local dependence.

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)

Contact