Ben Evans
Machine Learning Engineer at University of Sussex
Brighton, England, United Kingdom
Summary
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RockstarBen Evans is a Machine Learning Engineer based in Brighton with 11 years of experience bridging computational neuroscience and production-grade Python engineering. He contributes to prominent open-source projects like the Brian2 spiking neural network simulator, where he focuses on core library robustness, backwards compatibility, and precise unit handling. Comfortable working deep in back-end code, Ben combines scientific rigor with pragmatic software maintenance to keep research tools reliable and reproducible. An advocate for open science and Python best practices, he brings a researcher’s attention to detail—often surfacing subtle bugs that preserve long-term usability. Outside of code he’s a Jack Russell enthusiast, suggesting a hands-on, energetic approach to problem solving.
11 years of coding experience
Github Skills (7)
neuroscience10
units-of-measurement10
computational-neuroscience10
spiking-neural-networks10
python10
scientific-computing9
debug9
Programming languages (8)
Github contributions (5)
brian-team/brian2
Jan 2020 - Jan 2023
Brian is a free, open source simulator for spiking neural networks.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:22 reviews, 83 commits, 15 PRs in 3 years
Contributions summary:Ben primarily focused on fixing and improving the code within the Brian 2 spiking neural network simulator. Their contributions involved addressing issues related to backwards compatibility with older Python versions, specifically fixing `basestring`, `dict`, and `long` usages. They also made improvements to the unit handling, including the `get_dimensions` function and how unit operations are handled. Their changes spanned multiple files across the codebase, indicating a focus on core library maintenance and improving the robustness of the simulator.
spiking-neural-networkscode-generationneurosciencepythonscience
biocomplab/dl-hub
Feb 2021 - Dec 2021
A Dockerised JupyterHub environment for Deep Learning with GPUs
Contributions:65 commits, 2 PRs, 46 pushes in 9 months
nvidia-dockerdeep-learningdockerjupyterchainer
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