Nils Schaetti is a Swiss computer engineer and researcher blending a decade of industry experience with advanced academic work in machine learning and NLP. He has moved from hands-on C++ development and HPC systems administration to system testing for DRM and ultimately into PhD-level research and postdoctoral roles focused on reservoir computing and deep learning. As founder of The Artificialis he explores foundational questions about mechanizing thought and emergent complexity, reflecting a rare mix of practical engineering and philosophical curiosity. Nils has a track record of delivering open-source tooling for HPC, co-authoring peer-reviewed papers, and creating interactive 3D web platforms for medical education—work that shows his ability to translate research into applied learning tools. Based in Lausanne, he combines formal training in logic and mathematical sciences with a taste for interdisciplinary applications such as VR for education and blockchain.
10 years of coding experience
5 years of employment as a software developer
Certificate of Higher Education, Mathematical Sciences, Certificate of Higher Education, Mathematical Sciences at The Open University
Master of Science (M.Sc.), Advanced Computer Science and Applications, Master of Science (M.Sc.), Advanced Computer Science and Applications at Université de Franche-Comté
Federal Diploma of Technician, Computer Science, With honors, Federal Diploma of Technician, Computer Science, With honors at CEPTA
Doctorat, Artificial Intelligence, Doctorat, Artificial Intelligence at Université de Neuchâtel
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
Contributions:5 releases, 620 commits, 4 PRs in 4 years 6 months
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