Teaching Assistant

Computational Statistics

Summer 2026

Graphical Models in Statistics

Summer 2025

Seminar: Machine Learning for Sequential Decision Making

Winter 2023

Statistics for Business Administration

Summer 2020

Analysis 1 for Physicists

Winter 2016

Master Students

Reanalyzing the DREAM 5 data using techniques from graphical modeling

Žiga Gartner. Summer 2026

Graphical Dependence Modeling in Stock Market Analysis

Darya Shtromberg. Winter 2025

Active Learning for ML-training for Autonomous Vehicles

Adrien Castella. Summer 2024

Graph-Simulation Based Analysis of Causal Inference Methods on Instrumental Variables

Qianyun Li. Summer 2023

Supervised Research Assistants

Sarah Lumpp (2021 – 2023)

Daniel Sturm (2021 – 2022)