Jason Farquhar

Research Scientist In Neural Interfaces at MindAffect

Utrecht, Utrecht, Netherlands
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Summary

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Senior
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Jason Farquhar is a research scientist specializing in neural interfaces with 12+ years of experience bridging aerospace engineering, classical AI and modern machine learning for brain–computer interfaces. He has spent the last decade as an academic researcher and educator—publishing 30+ journal articles, supervising multiple PhD and master students, and teaching dedicated BCI and AI courses—while leading ML at MindAffect and now driving consumer neural interface research at Meta. Jason combines deep expertise in signal analysis and ML optimization with practical engineering: he open-sourced buffer_bci, a cross-language, cross-platform rapid-prototyping toolkit for BCI. Trained with a doctorate in AI and an engineering background in aerospace, he pairs rigorous research methods with product-focused development to move BCI tech closer to real-world use.
code12 years of coding experience
job13 years of employment as a software developer
bookMaster Artifical intelligence, AI, Master Artifical intelligence, AI at The University of Edinburgh
bookResearch Doctorate, Artificial Intelligence, Research Doctorate, Artificial Intelligence at University of Southampton
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Stackoverflow

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Github Skills (18)

matlab10
octave10
brain-computer-interface10
python9
machine-learning9
neuroscience9
bids6
connectivity6
time-frequency6
statistics5
neuroimaging4
3d3
fedora1
reinforcement-learning1
xserver1

Programming languages (6)

C#JavaShellJupyter NotebookMATLABMatlab

Github contributions (5)

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mindaffect/Headset

May 2020 - Mar 2021

Information on electrode placement, and the 3D printfiles for the headset
Contributions:4 commits, 1 PR, 8 pushes in 10 months
3d
jadref/jf_bci

Apr 2017 - Nov 2018

Brain Computer Interface / EEG signal analysis code in matlab
Contributions:3 commits, 1 PR, 1 push in 1 year 7 months
brain-computer-interfacematlab
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