Biography

Hey! I do research on scalable Probabilistic PDE solvers at the Methods of Machine Learning group led by Philipp Hennig.

Interests
  • Machine Learning Algorithms
  • Bayesian Inference
  • Deep Learning
  • Physics-informed ML
Education
  • M.Sc. Machine Learning, 2023

    University of Tübingen

  • B.Sc. Computer Science, 2021

    Karlsruhe Institute of Technology

Projects

Scaling GP-based PDE Solvers
Research Project. A case study on the shallow-water equations.
Scaling GP-based PDE Solvers
AI Exhibition Object on Decision Trees
Teaching people about machine learning by predicting apartment rents with decision trees.
AI Exhibition Object on Decision Trees
Predicting Political Parties from Text
Based on the transcript of a parliamentary speech, can we predict which party the speaker belongs to?
Predicting Political Parties from Text
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