Nik Dennler
Postdoctoral Researcher at ETH Zürich
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolNik Dennler is a postdoctoral researcher and dual-PhD-trained scientist combining neuromorphic computing, biologically inspired sensing, and data science to build intelligent, low-power sensing systems. With nine years of experience spanning academia and industry—ETH Zürich, The Francis Crick Institute, Sony, IBM and Sensirion—he bridges prototype hardware, edge deployments and advanced ML for real-world diagnostics and robotics. His work includes cost-cutting R&D for medical devices, event-based vision for aerial robotics, and machine olfaction research that blends signal processing with neuromorphic algorithms. Comfortable moving between hands-on circuit and prototype design and publishing rigorous research, he is based in Zurich and brings practical product-minded thinking to cutting-edge neural sensing problems.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Western Sydney UniversityMaster of Science - MSc, Neural Systems and Computation, Master of Science - MSc, Neural Systems and Computation at ETH ZurichBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Universität Zürich | University of Zurich
Github Skills (13)
deep-learning3
zenodo2
python2
low-level1
research-data-management1
pytorch1
nixos1
build-tools1
nixpkgs1
swig1
declarative1
documentation1
numpy1
Programming languages (5)
Github contributions (5)
nkdnnlr/Learning-in-Deep-Artificial-and-Biological-Neuronal-Networks-HS2019
Jan 2020 - Mar 2020
Contributions:19 commits, 1 push in 2 months
nkdnnlr/EPLNetwork_ImamCleland2020
Oct 2022 - Sep 2024
Online learning model of olfactory bulb external plexiform layer network (Imam & Cleland 2020)
Contributions:2 PRs, 30 pushes, 4 branches in 1 year 11 months
deep-learningbulbonline-learningnetwork-layer
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