Matthias Christenson
Principal Machine Learning Scientist (Founding Member) at MTN
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolMatthias Christenson is a principal machine learning scientist and founding team member at MTN with nine years of experience bridging computational neuroscience and applied Health AI. He holds a PhD from Columbia and has led and published research while building and deploying deep neural networks and custom probabilistic models across academic and industry projects. Matthias couples rigorous experimental design and mentorship as adjunct faculty at the University of Utah with hands-on engineering—designing data pipelines, databases, and production-ready ML systems at startups like DeepLife. Based in Zurich, he brings a rare combination of neurocomputational insight and product-oriented ML engineering, with open-access publications and GitHub projects that make his work reproducible.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Columbia University in the City of New YorkUniversity College London
French, Spanish, English, German
Github Skills (61)
artificial-intelligence10
color-theory10
python10
databases10
openai10
relational-model10
autonomous-agents10
ai10
relational-databases10
relational-algebra10
mysql9
relational9
datajoint9
cloud-computing9
pipeline-framework9
Programming languages (4)
Github contributions (5)
gucky92/loris
Mar 2020 - Feb 2024
Loris: Database and Analysis application for a Drosophila Lab (or any lab)
Contributions:1 release, 15 PRs, 209 pushes in 3 years 11 months
data-analysisneurosciencepythondrosophilaflask
neuralsignal/Auto-GPT
Apr 2023 - Sep 2024
An experimental open-source attempt to make GPT-4 fully autonomous.
Contributions:8 PRs, 68 pushes, 2 branches in 1 year 5 months
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