Teaching

Hamburg University

WS 2026/27

  • Stochastic Analysis
    Lectures: We and Th 14:15–15:45, MIN-F (Bu 56a), SemRm 5.1
    Tutorials: We 16:15–17:45, MIN-F (Bu 56a), SemRm 5.5
  • Contemporary Machine Learning in Theory and Practice (together with Johannes Lederer)
    Lectures: Fr 08:15–09:45, MIN-F Seminar Room 3.4
    Lab sections: every second Th 16:15–17:45, MIN-F Seminar Room 3.4

SS 2026

  • Seminar zu interagierenden Teilchensystemen und stochastischen Modellen auf Graphen: Tu 10:15-11:45, Geom 433
  • Proseminar zu den probabilistischen Grundlagen des maschinellen Lernens: Tu 14:15-15:45, Geom 1240
  • An Introduction to Large Deviations: We 12:15-13:45 and Th 14:15-15:45, MIN-F H6

WS 2025/26

  • Stochastische Prozesse: Tu 10:15-11:45, Geom H3, and Th 14:15-15:00, Geom H5; Th 15:00-15:45, Geom H5 (Übungen)
  • Stochastic Partial Differential Equations: Tu 16:15-18:45 and Fr 8:15-9:45, Geom H5

SS 2025

  • Maßtheoretische Konzepte der Stochastik: We 08:15-09:45 and Th 09:15-10:00, Geom H4
  • Stochastic Differential Equations: We 12:15-13:45 and Th 14:15-15:45, Geom H3
  • An Introduction to Large Deviations: Fr 14:15-15:45, online

WS 2024/25

  • Mathematische Stochastik: Tu 14:15-15:45 and Fr 14:15-15:45, Geom H2
  • Stochastische Prozesse: Tu 12:15-13:45, Geom H6, and Fr 12:15-13:00, Geom H3; Fr 9:15-10:00, Geom 434, and Fr 13:00-13:45, Geom H3 (Übungen)

SS 2024

  • Stochastic Analysis: Mo 12:15-13:45 and Th 14:15-15:45, Geom H3; Mo 14:15-15:45 (Tutorial class), Geom 433
  • Seminar on Mathematical Stochastics - An introduction to machine learning: Tu 10:15-11:45, Sed 19, 203

WS 2023/24

  • Large deviations: Tu 14:15-15:45, Geom H6 and Th 14:15-15:45, Geom H1
  • Seminar on Mathematical Stochastics - Markov processes and their applications: Th 10:15-11:45, Sed 19, 217
  • Stochastische Prozesse: Tu 12:15-13:45, Geom H6 and Fr 12:15-13:00, Geom H3

Bielefeld University

SS 2023

  • Wahrscheinlichkeitstheorie: Mi 18:00-20:00, V4-119 (Übungen)

WS 2022/23

  • Analysis I: Do 18:00-20:00, V5-148 (Übungen)
  • Seminar for PhD students: Mathematics of Machine Learning (together with Sebastian Kassing): We 16:00-18:00

SS 2022

  • Mathematik für Naturwissenschaften II: Do 16:00-19:00, T2-204 (Übungen)

WS 2021/22

  • Analysis II: Di 18:15-19:45, V2-210 (Übungen) und Do 18:15-19:45, U5-133 (Präsenzübungen)

Hamburg University

SS 2021

  • Stochastic Differential Equations and Diffusion Processes: Tu 12:15-13:45, Online
  • Seminar - Application of large deviations to statistical mechanics: We 16:15-17:45, Online
  • Stochastik 1 für Studierende der Informatik: Fr 14:15-16:30, Online

WS 2020/21

  • An introduction to large deviations: Tu 10:15-11:45 and Th 14:15-15:45, Online
  • Seminar - Stochastic flows with interaction and random measures: Fr 10:15-11:45, Online
  • Stochastik 2 für Studierende der Informatik: Mo 10:15-11:45 and Tu 16:15-17:45, Online

Leipzig University

SS 2020

  • Mathematics 4 - Further Mathematics for Physicists: Mo and Th 13:00-14:30, Online

WS 2019/20

  • An introduction to large deviations: Th 09:15-10:45, HS 19 (Augustusplatz 10)
  • Mathematics 3 - Vector Calculus and Partial Differential Equations: Mo 15:15-16:45, KH 281 and Tu 09:15-10:45, TH 294 (Linnestraße 5)

SS 2019

  • An introduction to large deviations (mini-course at Jilin University)
  • Mathematics 2 - Calculus of Functions of More Than One Variable: Mo 09:15-10:45 and We 11:00-12:30, KH 281 (Linnestr. 5)

WS 2018/19

  • Mathematics 1 - Linear Algebra and Calculus of Functions of One Variable (10-PHY-BIPMA1): Mo 09:15-10:45 and We 09:15-10:45, ThHs (Linnestr. 5)

SS 2016

  • Mathematics for Physicists 4: Mo 13:30-15:00 and We 09:15-10:45, KlHS (Linnestr. 5)

WS 2015/16

  • Mathematics for Physicists 3: Mo 9:15-10:45 and Tu 9:15-10:45, SR 532 (Linnestr. 5)