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Moin πŸ‘‹, I'm Jesper

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Typing SVG

πŸ§ͺ I like to build things for researchers using machine learning and Python. I have built ML.Recipes for AI4Science, for DS learners, and for Python conference submissions. I semi-regularly write articles for my website and my weekly-ish non-hype AI newsletter. Sometimes, I make videos on YouTube and Tiktok, but they're fairly irregular.

🌦 Formally, I'm a scientist for machine learning, improving global weather forecasts with AI at the ECMWF/@ECMWF, a 2022 fellow of the Software Sustainability Institute for AI4Science, and a Co-chair of the Working Group Modelling for the ITU Global Initiative on Resilience to Natural Hazards through AI Solutions.

πŸ’» I list all of my projects at

πŸ³β€πŸŒˆ My pronouns are (they / them)

What matters

πŸ’ΈπŸ‘‰black lives matters

πŸ’ΈπŸ‘‰trans rights are human rights

Where I Share my Thoughts πŸ’­

Newsletter: Late To The Party


I wrote a book about real-world ML and I give it away to my over 1111+ newsletter subscribers. πŸ‘‰

Data Education

I have been teaching all my life and I try to extend my vast knowledge of AI to others that could find it useful.


I love coding, writing, and speaking. Feel free to contact me about opportunities, but let's make sure our values align.

  • πŸ’¬ Ask me about python, machine learning, and data science.
  • πŸ‘― I’m looking to collaborate on cool useful projects.
  • πŸ™Š Need a speaker? Maybe we're a match.
  • πŸ“« How to reach me: Here
  • ⚑ Fun fact: The singer of Bad Religion has a PhD in evolutionary biology.

Website Kaggle Mastodon Linkedin Skillshare Youtube

Github Stats

I try to contribute to useful open-source projects, but for some reason, the day only has 24 hours.


Recent Public Activity

  1. πŸ—£ Commented on #2949 in tteck/Proxmox
  2. πŸ—£ Commented on #2925 in tteck/Proxmox
  3. ❗ Opened issue #2949 in tteck/Proxmox
  4. πŸ—£ Commented on #6651 in paperless-ngx/paperless-ngx
  5. πŸ—£ Commented on #1313 in prefix-dev/pixi

Github Trophys



  1. Public

    Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way …

    HTML 67 17

  2. Public

    Skillshare Data Science and Business Analytics in Python

    Jupyter Notebook 29 8

  3. keras-complex keras-complex Public

    Forked from ChihebTrabelsi/deep_complex_networks

    Keras-Tensorflow implementation of complex-valued convolutional neural networks

    Python 128 44

  4. 70-Years-of-Machine-Learning-in-Geoscience-in-Review 70-Years-of-Machine-Learning-in-Geoscience-in-Review Public

    Code to recreate the tutorial and figures in the book chapter.

    HTML 32 7

  5. seismic-transfer-learning seismic-transfer-learning Public

    Deep-learning seismic facies on state-of-the-art CNN architectures

    Jupyter Notebook 79 54

  6. python-deadlines python-deadlines Public

    Forked from paperswithcode/ai-deadlines

    ⏰ Python conference deadline countdowns

    JavaScript 29 10