Senior Research Software Engineer - Neuroscience & Machine Learning at Gatsby Computational Neuroscience Unit, UCL
United Kingdom
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Nicholas Guilbeault is a Senior Research Software Engineer who blends a PhD-level neuroscience background with nine years of experience building low-latency, real-time machine learning systems for experimental neuroscience. As the primary developer of Bonsai.ML at the Gatsby Unit, he integrates PyTorch/TensorFlow/ONNX tooling into a visual reactive framework and maintains 26 open-source NuGet packages that have attracted over 29,000 downloads. His PhD work produced BonZeb, a widely adopted toolkit for closed‑loop behavioral experiments that accelerated analysis and earned international citations, reflecting his focus on reproducible, performant research software. Comfortable working across Python, C#/.NET, Docker, HPC and GPUs, he translates complex experimental needs into robust ML pipelines and online inference systems (Kalman filters, HMMs, Bayesian decoders). Colleagues rely on him to turn interdisciplinary science into scalable, maintainable tools that shorten the loop from idea to experiment.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Cell and Systems Biology, Neuroscience, 4.0, Doctor of Philosophy (Ph.D.), Cell and Systems Biology, Neuroscience, 4.0 at University of Toronto
Honours Bachelor of Science (H.B.Sc.), Behaviour, Cognition and Neuroscience, 3.8, Honours Bachelor of Science (H.B.Sc.), Behaviour, Cognition and Neuroscience, 3.8 at University of Windsor
Bonsai Library containing reactive infrastructure for machine learning
Contributions:75 reviews, 31 PRs, 112 pushes in 1 year 1 month
bonsai-rxmachine-learning
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Nicholas Guilbeault - Senior Research Software Engineer - Neuroscience & Machine Learning at Gatsby Computational Neuroscience Unit, UCL