Jonathan Schmidt Jonathan Schmidt
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Postdoctoral researcher · University of Tübingen

Jonathan Schmidt

I am a Machine Learning researcher and I want to understand the mechanisms behind socio-economic inequality. My tools are probabilistic methods that combine mechanistic models with data, from Kalman filters to generative models.

My Research Publications Blog

Working together with Prof. Philipp Hennig and the Methods of Machine Learning group.

  • Tübingen, Germany
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Portrait of Jonathan Schmidt
Blog

Latest writing

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Sample paths of a stochastic process
September 17, 2026

On the Distribution of Wealth, Income, and Functions—Part 1

The Generator of a Stochastic Process

How do functions of a noisy state evolve over time? A tour of the generator of an Itô process, guided by a simple macroeconomic model of wealth and income.

stochastic processesmacroeconomicssocial dynamics
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News

Recent updates

  1. Sep 2026
    New blog post: On the Distribution of Wealth, Income, and Functions — Part 1, on the generator of a stochastic process. Read the post
  2. Apr 2026
    Started a new position as a postdoc in Tübingen.
  3. Jan 2026
    Successfully defended my PhD 🥳
  4. Jul 2025
    Paper published in npj Climate and Atmospheric Science: A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation. Read the paper
  5. Dec 2023
    Paper accepted at NeurIPS 2023: The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering in High Dimensions. Read the paper
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Papers

Featured publications

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  • npj Climate and Atmospheric Science · 2025 A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation
  • NeurIPS · 2021 A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
  • NeurIPS · 2023 The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering in High Dimensions
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© 2026 Jonathan Schmidt · Tübingen, Germany

 

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