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@MSNE2016 @AdaptiveMotorControlLab @LLMs4Europe
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Hi, I'm Steffen ๐Ÿ‘‹

My goal is to build machine learning tools and statistical methods for decompiling intelligent behavior. In my research group at Helmholtz Munich, we develop machine learning algorithms for representation learning and inference of nonlinear system dynamics, study how large and multi-modal biological datasets can be compressed into foundation models, and study their mechanistic interpretability.

If you are looking for opportunities for a position as a PhD student, postdoc, research engineer, research assistant, or an internship, Bachelor or Masterโ€™s thesis, please have a look at our current openings and ping me if youโ€™re interested in working with us.

For science outreach, I co-founded KI macht Schule, a non-profit organization teaching ML basics to high-school students. We provide teachers with modern teaching materials, AI tools and infrastructure in our open teaching hub, and offer courses on AI for students and teachers in Germany, Switzerland and Austria.

I am also co-founder and CTO of Kinematik AI, a company offering customized machine intelligence solutions in the biopharma and animal healthcare sector.

Here are some pointers to my work:

  • ๐Ÿง‘โ€๐ŸŽ“ Interested in my research? Have a look at or my google scholar profile.
  • ๐Ÿฆ“ Check out cebra, our new representation learning algorithm to obtain embeddings of jointly recorded behavioral & neural data.
  • โ˜• Check out robusta, our library for robustness & adaptation.
  • ๐ŸŽ’ Check out how we teach ML & AI to highschool students at KI macht Schule.
  • ๐Ÿ’ผ Get in touch if you are interested in what we are building at Kinematik AI.
  • ๐Ÿฆ Follow me on X: @stes_io
  • ๐Ÿ˜ ... and mastodon:

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  1. AdaptiveMotorControlLab/CEBRA AdaptiveMotorControlLab/CEBRA Public

    Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

    Python 866 67

  2. AdaptiveMotorControlLab/CEBRA-demos AdaptiveMotorControlLab/CEBRA-demos Public

    CEBRA Demo Notebooks. Please see all of them at the URL below:

    Jupyter Notebook 10 4

  3. bethgelab/robustness bethgelab/robustness Public

    Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

    Python 126 4

  4. shift-happens-benchmark/icml-2022 shift-happens-benchmark/icml-2022 Public

    Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)

    Python 37 17

  5. domainadaptation/salad domainadaptation/salad Public

    A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

    HTML 332 42

  6. brendel-group/cl-ica brendel-group/cl-ica Public

    Code for the paper "Contrastive Learning Inverts the Data Generating Process".

    Python 88 9