Hands-on neural engineering, built for reproducibility.
We run a code-forward lab that pairs focused ultrasound experiments with rigorous computational modeling. Everything we do is designed to be clear, measurable, and reproducible—from protocols to pipelines to the writing that explains them.
Send a short note, CV, and 1–2 links to work. We value clear writing and reproducible code.
Lab members
A tight group that codes, builds, and validates together.
How we work
Principles that keep the lab moving and reproducible.
Prototype early, test quickly, refine with data.
GitHub, pinned environments, rerunnable figures, and clear READMEs.
We state hypotheses plainly and design analyses that can break them.
Lightweight check-ins, frequent code reviews, and ownership of projects.
We chase interesting signals, then pressure-test them with careful stats.
Issues/PRs, code review as mentoring, and small testable commits for every project.
What we’re building
Project streams that align with our research program.
Predict and steer brain state transitions with focused ultrasound.
Directional structure from high-dimensional neural and behavioral data.
Calibration and decision rules for complex, incentive-driven systems.
Current collaborators
Join the lab
We welcome trainees who like to build, measure, and write clearly. Send a concise note, CV, and 1–2 links to code/papers. Tell us which direction excites you and how you like to work.