Etienne Mueller

Welcome to my personal website!

I am a postdoctoral researcher at the University of Melbourne, Australia. My topics are computational neuroscience, AI and neuromorphic computing.

In the future, this site will be my playground for different projects. In the meantime, have a look at my CV, my Google Scholar or my open source projects on Github.



May 2023 - today
University of Melbourne (UoM), Australia

Postdoctoral Researcher Computational Neuroscientist

  • Research on the growth of biological neural networks in zebrafish
  • Development of a BNN-to-SNN pipeline

Oct. 2018 - Sep. 2022
Technical University of Munich (TUM), Germany

Ph.D. in Computer Science

  • Thesis on biologically-inspired neural networks for energy-efficient computation in cooperation with Infineon Technologies AG
  • Development of best-in-class deep spiking neural networks for object detection on large, high-dimensional data (>20 GB)
  • Research of novel biologically-inspired approaches for natural language processing and pattern recognition with varying datasets

Apr. 2015 - Aug. 2017
Technical University of Hamburg (TUHH), Germany

M.Sc. in Product Development, Materials and Production

  • Thesis on the development of autonomous racing vehicles
  • Awarded the Incentive Prize of the Technical University of Hamburg endowed with 1,500€

Sep. 2015 – Feb. 2016
Institut Catholique d’Arts et Métiers Nantes (ICAM), France

Semester Abroad

  • Thesis on designing tools for workflow optimization of a waste utilization plant using CAD

Oct. 2009 – Dec. 2014
Technical University of Hamburg (TUHH), Germany

B.Sc. in Mechanical Engineering

  • Thesis on measuring and increasing the accuracy of industrial robots using MATLAB

Professional Experience

Oct. 2022 - Mar. 2023
Flowers-Software GmbH

AI Engineer

  • Development of an AI pipeline for automated document analysis

Oct. 2021 - Sep. 2022
Technical University of Munich (TUM), Germany

Technical Advisor

  • Technical coordination and leading of a pilot case for an EU-funded (Horizon 2020) project (SHOP4CF)

Oct. 2018 - Sep. 2021
Infineon Technologies AG

AI Researcher

  • Research cooperation with the Technical University of Munich
  • Development of an open source toolbox for conventional to spiking neural network conversion

Mar. 2018 - Aug. 2018
BMW via aam it GmbH

Component Manager

  • Technical supervision of cooling water pumps for electric and combustion vehicles for BMW

Aug. 2012 - Aug. 2017
e-gnition Hamburg e.V. @ TUHH

Formula Student Team

Developer Driverless Actuator Technology (2016 - 2017)
  • 1st Place Formula Student Driverless: Autonomous Design
  • 3rd Place Formula Student Driverless: Overall
Division Manager Business Plan (2014 - 2016)
  • Special Award for educational video "How to Business Plan" at Formula Student Hungary
President & Team Captain (2013 - 2014)
  • Special Award for Ecological Design by Magna Steyr
Division Manager Aerodynamics (2012 - 2013)

Jan. 2015 - Aug. 2016

Co-founder & CEO

  • Development of smart wearable devices and location-based sharing algorithms
  • Awarded Nissen Foundation Start-Up Grant endowed with 3,000€

Oct. 2013 - Dec. 2013
Institute of Aircraft Production, TUHH

Research Assistant

  • Manufacturing of components via a six-axis industrial robot and CAM software

Sep. 2010 - Sep 2012
Lischke Consulting

Assistant Consultant

  • Supported various corporate restructuring projects

Teaching Experience

Mar. 2019 - Sep 2021

Cognitive Systems

  • Covering topics such as cognition, senses and perceptions, biological inspired computational models and neurorobotics
  • Creating and grading of exams for over 400 students

Oct. 2019 - Sep. 2021

Thesis Supervision in Deep Learning and Spiking Neural Networks

  • Master Thesis (2021): Performance of Time to First Spike Encoded Spiking Neural Networks
  • Research Internship (2021): Conversion of Analog to Spiking Transformer Networks
  • Master Thesis (2021): Conversion of Analog LSTM-based Recurrent Neural Networks
  • Master Thesis (2021): Conversion of Analog GRU-based Recurrent Neural Networks
  • Research Internship (2020): Carla as Open Source Platform for Analyzing and Evaluating Autonomous Driving
  • Master Thesis (2020): Converting Analog to Spiking Convolutional Neural Networks for Object Detection
  • Master Thesis (2019): Semantic Segmentation of Integrated Circuit Layout Images


Open Source Projects

See: Github















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