Gregor Lenz

Gregor Lenz

Neuromorphic machine learning


I graduated with a PhD in neuromorphic engineering from Sorbonne University because I think that technology can learn a thing or two from how biological systems process information. I work with event cameras that are inspired by the human retina and spiking neural networks that mimic our brain in an effort to teach machines to compute a bit more like humans do. At the very least there are some power efficiency gains to be made, but hopefully more! Also I love to build open source software for spike-based machine learning.

  • Event-based sensors
  • Spiking neural networks
  • Neuromorphic hardware
  • Digital privacy
  • PhD in Neuromorphic Engineering, 2021

    Sorbonne Université, Paris, France

  • MSc in Biomedical Engineering, 2014

    UAS Technikum, Vienna, Austria

  • BSc in Biomedical Engineering, 2012

    UAS Technikum, Vienna, Austria


Neuromorphic machine learning engineer
Jul 2021 – Present Zurich, Switzerland
Training spiking neural networks for neuromorphic hardware.
Institut de la Vision, Sorbonne Université
PhD student
Dec 2017 – Jun 2021 Paris, France
Event-based computer vision and spiking neural networks on Loihi (neuromorphic hardware).
BioMedIA at Imperial College
Research assistant
Jul 2016 – Jul 2017 London, UK
Supported the developing Human Connectome Project (dHCP).


A machine learning framework for spiking neural networks based on PyTorch.
Spike-based data sets and transformation built on PyTorch.