Gregor Lenz

Gregor Lenz

Neuromorphic machine learning

Biography

I am interested in the intersection of the human body and machines, which lead me to do a PhD in neuromorphic engineering. At the Vision institute in Paris, France I experimented with event-based sensors that are inspired by the human eye and spiking neural networks which mimic the way biological organisms process information. I love to build open source software which hopefully helps to accelerate research in that direction.

Interests
  • Event-based sensors
  • Spiking neural networks
  • Neuromorphic hardware
  • Digital privacy
Education
  • 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

Experience

 
 
 
 
 
SynSense
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).

Projects

Loris
Python library to handle various file formats from neuromorphic cameras.
Tonic
Spike-based data sets and transformation built on PyTorch.
Frog
Android framework for event-based algorithms and part of the Paris neuromorphic zoo.

Contact