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I am a graduate student in computer science at the University of Tübingen and the MPI for Intelligent Systems and I am interested in the connections between numerical analysis 📟 📈 and probabilistic machine learning 💻🧠.

My research focuses on probabilistic numerics which aims to quantify uncertainty induced by finite computation or stochastic input by interpreting numerical methods as probabilistic inference.


  1. Probabilistic Numerics in Python.

    Python 164 23

  2. pycalib Public

    Non-Parametric Calibration for Classification (AISTATS 2020)

    Python 8 7

  3. Probabilistic Linear Solvers for Machine Learning (NeurIPS 2020)

    Jupyter Notebook 4

  4. Forked from SpeedyN/StreamBasedAL


1,834 contributions in the last year

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Contribution activity

September 2021

Created a pull request in probabilistic-numerics/probnum that received 1 comment

Fix broken link in development tutorial on testing

In a Nutshell The preview image of the development tutorial on testing pointed to an image which no longer exists in the VSCode docs. This PR fixes…

+39 −38 1 comment
Opened 1 other pull request in 1 repository
probabilistic-numerics/probnum 1 merged
56 contributions in private repositories Sep 1 – Sep 27

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