Teaching

Recommendations for students

• terrytao.wordpress.com – Blog of Terence Tao, a great mathematician and Fields medalist
• almostsure.wordpress.com – Blog on stochastic calculus
• Paul Halmos, I want to be a Mathematician: An Automathography – Book

Recommendations for lecturers

• Gabriel Hofer-Ranz, Die Verzeitlichung des Zeitlosen – Didactic text on including historical aspects in mathematical education (German)

Present

• Winter 2023/24: Advanced Mathematical Methods in Statistics, Optimization in Machine Learning. Interim Professor. LMU

Past

• Summer 2023: Fundamentals of Uncertainty Quantification. Lecturer. HM
• Winter 2022/23: Linear Algebra. Lecturer. HM (in cooperation with Prof. Köster and Prof. Ruckert)
• Summer 2022: Fundamentals of Uncertainty Quantification. Lecturer. HM
• Winter 2021/22: Linear Algebra. Lecturer. HM (in cooperation with Prof. Köster and Prof. Ruckert)
• Summer 2021: Fundamentals of Uncertainty Quantification. Lecturer. HM
• Summer 2020: Mathematical Models for UQ in Hydrology. Module construction. TUM
• Winter 2019/20: Introduction to Numerical Linear Algebra. Exercise coordinator. TUM
• Summer 2019: Numerics for PDEs (MSE). Exercise coordinator. TUM
• Winter 2018/19: Modeling and Simulation with ODEs. Tutor. TUM
• Semester break Sep/Oct 2018: Ferienakademie (Group 08). Tutor
• Summer 2018: Numerics for ODEs. Tutor. TUM
• Winter 2017/18: Introduction to Numerical Linear Algebra. Tutor. TUM
• Summer 2017: Introduction to Programming. Tutor. TUM
• Summer 2017: Seminar: UQ with Efficient Monte Carlo Methods. TUM
• Winter 2015/16: Stochastics. Tutor. LMU
• Winter 2014/15: Analysis I. Tutor. LMU
• Winter 2011/12: Linear Algebra, Software Engineering. Tutor. HM