Jason Farquhar
Research Scientist In Neural Interfaces at Meta
Utrecht, Utrecht, Netherlands
Summary
👤
Senior🎓
Top SchoolJason 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.
12 years of coding experience
13 years of employment as a software developer
Master Artifical intelligence, AI, Master Artifical intelligence, AI at The University of EdinburghResearch Doctorate, Artificial Intelligence, Research Doctorate, Artificial Intelligence at University of Southampton
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (32)
machine-learning10
matlab10
octave10
brain-computer-interface10
bmi10
sdk9
neuroscience9
python8
high-performance8
signal-processing7
connectivity7
electrophysiology7
meta-analysis7
bids7
statistics6
Programming languages (6)
Github contributions (5)
jadref/buffer_bci
Nov 2013 - May 2019
Simple Matlab/Octave based framework for building Brain Computer/Machine Interfaces (BCI/BMI)s
Contributions:1757 commits, 7 PRs, 649 pushes in 5 years 6 months
brainmatlabbcimachine-learningoctave
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
brainsignalpythonbrain-computer-interfacematlab
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