A mentored, six-to-nine-month research cohort where students use Applied Data Science and AI/ML techniques to take a genuine neuroscience and engineering research problem from first principles to a submitted manuscript — under the mentorship of senior research scientists.
Most research programs for young students stop at exposure. We start students inside a real, active research program — the way research careers actually begin. Each student is assigned a well-scoped problem, learns the methods to attack it, produces and analyzes real data, and writes it up for submission. They learn to think like a researcher years before college.
Every student who completes the cohort finishes with a written manuscript submitted to a public preprint archive (such as arXiv) — a genuine piece of research, authored by them, that exists in the world and can be cited.
Publication at peer-reviewed international conferences is competitive and never certain — no honest program can guarantee it. We aim high and prepare students for that bar, but the guaranteed floor is the archive submission above.
Register for the free orientation to learn how the program works and whether it's the right fit for your student — no commitment required.