datalus

Computing and data science consulting. The work follows data through its whole life: how it is collected, analyzed, taught, and owned.

Consulting

What I do

I'm a trained computational scientist with industry experience in data science and product management. I've spent over a decade building research software and teaching researchers scientific computing and statistical programming.

Training

Design and offer trainings in scientific computing and statistical programming, for researchers and teams.

Product

Design products for scientific research and science education, from curriculum to research software tooling.

Advisory

Professional services in data science and product management, for teams shipping data-driven decisions at scale.

Selected clients

Mozilla
Curriculum consultant

Designed an open-source LLM curriculum and delivered it to students at San Jose State, in partnership with Mozilla.

2024teach
Memorial Sloan Kettering
Curriculum designer, instructor

A Python scientific computing course for incoming Cancer Biology and Cancer Engineering PhD students.

Course materials →
2025–2026teach
OpenBCI
Research scientist consultant

EEG data analysis and software design for open-source brain-computer interface hardware.

2015–2016collectanalyze
BrainWaves
Product manager, Advisory Board president

Product management for an open project that brings cognitive science experiments into classrooms.

2017–2022teach
Open source and research

Tools and research

Most of my open-source work began with brain data and the practical problem of getting it recorded, shared, and analyzed in Python.

Research

NeuroAI at Meta FAIR

I'm a data scientist on the Brain & AI team. The team's work includes a foundation model of vision, audition, and language for in silico neuroscience.

Read the publication →
Currentanalyze

Software

MEG and EEG data processing and analysis in Python.

Core contributor · 2012–2017analyze

Read and write brain datasets in the BIDS standard, and the extension that brought MEG into it.

Core contributor · 2017–2020collect

Real-time analysis with LSL and FieldTrip clients. Now succeeded by MNE-LSL.

Maintainer · 2019–2023collectanalyze

A Blockly-based notebook editor for JupyterLab with a tidy-data extension, built on jupyterlab-blockly and TidyBlocks.

Maintainerteachanalyze
Product

passports.socialalpha

The product I've designed and built, and the last stop of the thread.

An open social app for logging your life. Each kind of record is a passport: travel, U.S. states, ticket stubs, and more, with charts of your own data.

Records are published to your Atmosphere account, so you keep them.

own Visit passports.social → Built with SvelteKit, Supabase, and AT Protocol.
About

Teon L. Brooks, Ph.D.

datalus is my consulting practice. I'm also co-founder of the nonprofit Gotham Data Clinic and a data scientist on the Brain & AI team at Meta FAIR.

My research background is in psycholinguistics, cognitive science, and data science education.

Start a conversation

hello@datalus.xyz
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datalus © 2026 Teon L. Brooks