Dan Goodman
Consultant at Neuromatch
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolDan Goodman is a computational neuroscientist and consultant with 17 years of experience bridging biological models and machine learning to understand natural and artificial thinking. Based in London, he leads research and teaching at Imperial College (now Associate Professor) while co-founding community and tooling initiatives such as Neuromatch and the Brian spiking neural network simulator. He contributes core backend improvements to Brian2—optimizing code generation and C++ standalone support—which underpins many open-source spiking network studies. Trained in mathematics at Cambridge and Warwick, Dan combines rigorous theoretical grounding with practical software engineering, often translating complex neuroscience models into performant simulation code.
17 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of CambridgeDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Warwick
French, English
Github Skills (10)
simulations10
simulation10
code-generation10
c-language10
cprogramming-language10
openmp9
mathematical8
modeling8
jinja28
python8
Programming languages (6)
Github contributions (5)
brian-team/brian2
Aug 2012 - Apr 2021
Brian is a free, open source simulator for spiking neural networks.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:49 reviews, 851 commits, 94 PRs in 8 years 9 months
Contributions summary:Dan made changes to Brian, a simulator for spiking neural networks, focusing on the core components of the code generation and simulation processes. They implemented attributes, improved the performance of certain functions, and added support for new features in C++ standalone mode. The user also worked on the implementation of different mathematical functions and added a few example models.
spiking-neural-networkscode-generationneurosciencepythonscience
neural-reckoning/cosyne-tutorial-2022
Jan 2022 - Sep 2022
Cosyne workshop tutorial 2022
Contributions:1 release, 1 review, 40 commits in 7 months
workshop
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