Teon Brooks
President at The City University of New York
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolTeon Brooks is a data scientist and neuroinformatics researcher with 14 years of experience building tools at the intersection of neuroscience and AI, currently working on the Brain & AI team at Meta FAIR in New York. He blends academic rigor—a PhD in Cognitive Science from NYU and postdoctoral work at Stanford—with hands-on engineering, contributing to open-source projects like MNE-Python for MEG/EEG analysis. Teon has led product and R&D teams to translate cognitive research into consumer-facing features (e.g., mouse sensitivity and cognitive assessments at Statespace) and has driven revenue-focused data science and experimentation at Mozilla. He also leads Gotham Data Clinic, a nonprofit creating data science education tools, and teaches creative computing at CUNY, signaling a strong commitment to training the next generation. Comfortable across ML frameworks and full-stack tooling, he combines signal-processing expertise with product-minded experimentation to make neuroAI research practical and reproducible. An organizer and open-science advocate, he brings rare cross-domain fluency from lab protocols to production telemetry.
13 years of coding experience
9 years of employment as a software developer
Ph.D., Cognitive Science, Ph.D., Cognitive Science at New York UniversityB.S., Linguistics and Psychology, B.S., Linguistics and Psychology at The University of North Carolina at Chapel HillLindau Nobel Laureate Meetings
French, Portuguese
Github Skills (7)
megaparsec10
python10
numpy9
data-analysis9
algorithms8
data-processing8
machine-learning7
Programming languages (17)
Github contributions (5)
mne-tools/mne-python
Nov 2012 - May 2020
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:572 commits, 144 PRs, 53 pushes in 7 years 7 months
Contributions summary:Teon primarily contributed to the development of the MNE-Python project, with a focus on functionality related to the analysis of Magnetoencephalography (MEG) and Electroencephalography (EEG) data. Their commits involve bug fixes, such as resolving indexing errors within the epochs module, and fixing parenthetical errors. The user implemented features, like the addition of a constant for the KIT system, and made improvements to the data parsing capabilities.
visualizationneuroimagingneurosciencepythonstatistics
teonbrooks/pyeparse
May 2015 - Nov 2015
Tools related to analyzing eye tracking data from cogntive sciences experiments
Contributions:36 commits, 27 pushes, 4 branches in 6 months
analyzingpythontrackingeyesciences
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