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What I've done with my life so far.
Basics
Name | Gabriel Béna |
Label | Neuromorphic Researcher |
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
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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
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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
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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
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2019.01 - 2020.01 Toulouse, France
Master
Université Paul Sabathier
Operational Research
- Applied Mathematics
- Informatics
- Engineering
- Optimization
- Modelization
- Algorithms
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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
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2014.01 - 2016.01 Paris, France
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 |