Jens Pedersen
Postdoc at DTU - Technical University of Denmark
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolJens Pedersen is a postdoctoral researcher and software engineer with 11 years of experience blending academic research and production software delivery, now working at DTU after completing a doctoral project at KTH on neuromorphic computation and geometric learning. He has held hands-on engineering and leadership roles—from CTO at a construction tech startup to building logging and analytics infrastructure at CERN—demonstrating expertise in distributed systems, DevOps, and data platforms. As an educator and assistant professor he redesigned undergraduate curricula around modern tooling (Docker Swarm, Prometheus, Grafana, ELK) and taught machine learning, databases and functional programming. Jens combines rigorous research skills with pragmatic engineering, shipping reliable systems and prototypes that bridge theory and deployment. He holds degrees across computer engineering, software development and IT & cognition, which underpin a rare mix of neuroscience-inspired ML research and production-grade software craft. Colleagues describe him as a curious polyglot developer who moves comfortably between low-level system design and high-level geometric learning concepts.
11 years of coding experience
9 years of employment as a software developer
Esbjerg Gymnasium og HFBSc., Political Science, BSc., Political Science at Aarhus UniversitetBSc., Softwaredevelopment, BSc., Softwaredevelopment at IT University of CopenhagenBachelor of Science (BSc), Computer Engineering, Bachelor of Science (BSc), Computer Engineering at EPITAMasters's degree, IT & Cognition, Masters's degree, IT & Cognition at Københavns Universitet
English, Danish, French, German
Stackoverflow
2,730reputation
218kreached
56answers
16questions
scala
top-5%
Github Skills (200)
computational-neuroscience10
nix10
windows10
bash10
rise10
deep-learning10
gpu10
nixos10
linux10
event-data10
shell10
spiking-neural-networks10
abaqus10
cli10
sparse10
Programming languages (19)
Github contributions (5)
neuromorphs/NIR
Jul 2023 - Mar 2025
Neuromorphic Intermediate Representation reference implementation
Contributions:8 releases, 42 reviews, 62 PRs in 1 year 9 months
machine-learningneuromorphic
aestream/aestream
Aug 2020 - Jan 2023
Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols
Contributions:10 releases, 37 reviews, 65 commits in 2 years 6 months
pytorchdvs128gpu-accelerationgpusparse
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