Lecturer:
Introduction to Data Analytics (Autumn Trimester 2024/25)
Statistics and Probability (Spring Trimester 2023/24)
Causality (Block 4 2022/23)
Teaching assistant:
Models for Complex Systems (Block 3 2022/23)
Project in Statistics (Block 4 2021/22)
Models for Complex Systems (Block 3 2021/22)
Student Seminar in Statistics: Statistical Network Modeling (Spring 2021)
Statistical Modelling (Autumn 2020)
Student Seminar in Statistics: Inference in Non-Classical Regression Models (Spring 2020)
Statistics II for Medical Students (Autumn 2019)
Statistics and Probability (Spring 2019)
Applied Statistical Regression (Autumn 2018)
Statistics and Probability (Spring 2018)
Algebra I (Autumn 2016)
PhD students:
Moises Chavira Flores: Information theoretic bounds in probabilistic graphical models.
Master thesis supervision:
Trivedi Venkatesh (2024): Analysing and cisualising temporal health trends: A comparative study of changes between two censuses.
Søren Thomsen (2022): Causal attribution in linear models
Zehao Su (2021). Testing over-identifying constraints for verification of total causal effect estimation
Milan Kuzmanovic (2020). Total effect estimate based test statistic for causal graphs
Helgi Holdarson (2019). Causal inference on partially observed data using partial deletion and multiple imputation
Martin Buttenschön (2019). A graphical criterion for the asymptotic efficiency of conditional instrumental variables
Lukas Hofmann (2018). Estimating the causal effect of case management health care expenditure