Curriculum Vitae

PDF here: cv.pdf (updated 17.12.2023)

Education

  • PhD in Machine Learning       2020 - now
    University of Tübingen

  • MSc Data Engineering and Analytics       2018 - 2019
    Technical University of Munich

  • MSc Mathematics       2016 - 2018
    Technical University of Munich

  • BSc Mathematics       2012 - 2016
    Technical University of Munich

Teaching

  • Co-Lecturer: Numerics of Machine Learning       2022
    University of Tübingen
    website youtube

  • Guest-Lecture: Probabilistic Numerics for Ordinary Differential Equations       2022
    Uppsala University
    Gave a single guest lecture as part of the seminar "A computational introduction to stochastic differenetial equations", organized and taught by Zheng Zhao.
    website

  • Teaching Assistant: Data Literacy       2021
    University of Tübingen

  • Seminar: Machine Learning for and with Dynamical Systems       2021
    University of Tübingen
    Jointly organized with Nicholas Krämer.

  • Teaching Assistant: Time Series       2021
    University of Tübingen

  • Teaching Assistant: Principles of Mathematics 2       2017
    Technical University of Munich

  • Course Instructor for a five-day A-level preparation course       2016 & 2017
    abiturma GbR

Supervision

  • Thomas Albrecht, Master's thesis

  • Felix Böhm, Bachelor's thesis

  • Dingling Yao, Master's thesis

  • Joanna Sliwa, Essay rotation