Teaching

• Student Seminar in Statistics: Conformal and Probabilistic Prediction, Spring Semester 2025.

• Analysis of Variance and Experimental Design, Autumn Semesters 2023, 2024.

• Student Seminar in Statistics: E-Values and Anytime-Valid Inference, Spring Semester 2024.

• Introduction to Machine Learning, Spring Semester 2023.

Master Students

• K. Schärer: Quantile-Calibrated Prediction Sets (Spring Semester 2025).
• D. Schaub: Expectation-Calibrated Prediction Sets (Fall Semester 2024).
• H. Höhenberger: Distributional Conformal Prediction (Spring Semester 2024)