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Contact

Cluster of Excellence “Machine Learning”
Maria-von-Linden-Str. 6
72076 Tübingen
+49 7071 2970895
jakob.schloer@uni-tuebingen.de

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I’m a theoretical physicist mainly interested in climate data analysis using probabilistic models.

Research Interests

  • Climate data analysis (i.e. spatial-temporal data from satellites and meteorology)
  • El Nino Southern Oscillation prediction and diversity
  • Interaction between climate systems
  • Uncertainty quantification
  • Probabilistic models (Gaussian process regression, Bayesian NN)
  • Generative models (Hidden Markov models, Variational Autoencoders)
  • Nonlinear data analysis (complex networks, kernel methods)

CV

I obtained my Bachelor in Physics at the University of Konstanz which was followed by a Masters in Physics at the University of Regensburg. During my studies I spent five months at the Weizmann Institute of Science in Israel and half a year at Bosch Research in Renningen. Since September 2020, I’m a PhD student in the Machine Learning for Climate Science group at the University of Tübingen and I’m part of the International Max-Planck Research School for Intelligent Systems. Privately, I love sports, nature and wildlife.


Publications

2020

2020

  • Daniel Hernangómez-Pérez, Jakob Schlör, David A. Egger, Laerte L. Patera, Jascha Repp, and Ferdinand Evers, Reorganization energy and polaronic effects of pentacene on NaCl films, Phys. Rev. B 102, 115419 (2020)
    [pdf]