Advanced Statistical Methods in Neuroimaging and Genetics

Advanced Training in Statistical Methods

Live 2-Week Course | April 13 - 24, 2026

Who should attend?

This course is geared toward individuals early in their research career, typically graduate students, postdoctoral fellow, and very junior faculty. We have also accepted exception undergraduate students.

Learn more about the course

The focus of this two-week course is to learn advanced statistical methods applied to neuroimaging and genetics, within the context of biomarker discovery. This is not an introductory course, and will teach advanced topics of Bayesian methods in neuroimaging, network science in neuroimaging, statistical genetics, and multi-modal predictive modeling.

Course attendees are expected to already have experience with aspects of neuroimaging analysis and/or genetics. An innovation to our course is the additional 6-month follow-up, where attendees of the course have the opportunity to meet as a group with each lecturer for a 75-minute webinar-based workshop each month. This will allow course attendees to interact with the course faculty well after the two-week period. Additionally, the course attendees will have access to a slack help-line for questions surrounding implementation of methods.

This course is supported by federal funding from the National Institute on Neurological Disorders and Stroke (R25NS117281).

Dates, Application Process, and Cost

To ensure the highest quality of instruction, the course is limited to approximately 25 attendees each year. Because of the limited size, attendance is by application only. In general, applicants must be a US citizen or permanent resident, though we do have the ability to accommodate 1 to 3 individuals that do not meet this criteria.