cv

What I've done with my life so far.

Basics

Name Gabriel Béna
Label Neuromorphic Researcher
Email g.bena21@imperial.ac.uk
Summary PhD candidate in neuromorphic computing at Imperial College London and Neuromorphic Researcher at SpiNNCloud. Passionate and driven, with strong capabilities and interest in programming and natural sciences.

Work

  • 2024.10 - Present
    Neuromorphic Researcher & Developer
    SpiNNcloud
    Freelance work based in Dresden, Germany focusing on neuromorphic computing applications and software development.
    • Designing and deploying deep SNNs on neuromorphic chips
    • Utilizing hybrid approaches to leverage the best of conventional and neuromorphic computing
    • Tackling multiple optimisation and physics problems as neuromorphic applications
    • Active software development and improvement of py-spinnaker2
  • 2021.01 - Present
    PhD Candidate
    Imperial College London
    PhD in the Neural Reckoning Group under the supervision of Dan Goodman, focusing on Spiking Neural Networks and neuromorphic computing.
    • Study Spiking Neural Networks (SNNs) and uncover principles underlying the spike-based computational paradigm
    • Study the relationship between structure and function in NNs, especially in modular & multimodal architectures
    • Leverage these insights to advance neuromorphic computing
  • 2020.06 - 2020.12
    ML / Neuromorphic Intern
    Prophesee
    Internship in Paris, France working on event-based cameras and neural networks.
    • Trained deep spiking neural networks for event-based cameras
    • Created spiking auto-encoders for denoising and compressing tasks
    • Worked on end-to-end event-based systems using Intel's LOIHI processor and Prophesee's event-based cameras

Education

  • 2019.01 - 2020.01

    Toulouse, France

    Master
    Université Paul Sabathier
    Operational Research
    • Applied Mathematics
    • Informatics
    • Engineering
    • Optimization
    • Modelization
    • Algorithms
  • 2016.01 - 2020.01

    Toulouse, France

    Master of Science
    ISAE-Supaero
    Data and Decision Science, Machine Learning applied to Space Systems
    • Data Science
    • Decision Science
    • Machine Learning
    • Space Systems Operation
    • Space Systems Conception
  • 2014.01 - 2016.01

    Paris, France

    Undergraduate
    Lycées Henri IV
    MP Preparatory Classes
    • Mathematics
    • Physics
    • Computer Science

Skills

Programming
Python
C
Java
Deep Learning
ANNs
SNNs
PyTorch
JAX
Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Statistical Modeling

Languages

French
Native
English
Fluent
Spanish
Intermediate

Interests

Sports
Skiing
Surf
Rugby
Music
Saxophone
Guitar
Travel
Morocco (5 years)
England (4 years)
Japan (6 months)
Colombia (6 months)
Solarpunk