2026 Schedule
This page details the weekly schedule for the 2026 NeuroHackademy.
Week 1
Week 1 of the course consists primarily of lectures and tutorials. Participants will also be assigned groups for a mini-project (“Week 1 Group Projects”) that will be explained on Tuesday.
Monday
9:00am
Welcome to the NeuroHackademy!
Noah C. Benson
Ariel Rokem
10:00am
Coffee Break
10:30am
Reproducibility in Cognitive Neuroscience: What is the Problem?
Russell Poldrack
12:00pm
Lunch
1:30pm
Intro to Python (Auditorium)
Kelly Chang
—OR—
Designing Libraries in Python (103)
Ariel Rokem
3:00pm
Coffee Break
3:30pm
Digital Neural Organoids: Biologically-Inspired Learning Objects
John Van Horn
5:00pm
Welcome Reception and Dinner
Tuesday
9:00am
AI-assisted Programming
Russell Poldrack
10:00am
Coffee Break
10:30am
Week-1 Group Projects: Introduction
Noah C. Benson
Ariel Rokem
12:00pm
Lunch
1:30pm
Introduction to Git and GitHub (Auditorium)
Noah C. Benson
—OR—
Collaboration using Git (103)
Ariel Rokem
3:00pm
Coffee Break
3:30pm
Where LLMs meet analytical flexibility and how neuroinformatic platforms and standards will change our work
J. B. Poline
Wednesday
9:00am
Week 1 Group Projects: Work Time
Noah C. Benson
Ariel Rokem
10:00am
Coffee Break
10:30am
How to Be an Academic Scientist
Kendrick Kay
12:00pm
Lunch
1:30pm
Deep Learning in Pytorch (Auditorium)
Noah C. Benson
—OR—
Machine Learning in Python (103)
Ariel Rokem
3:00pm
Coffee Break
3:30pm
Week 1 Group Projects: Work Time
—OR—
Center for Human Neuroscience visit
John Pyles
Thursday
9:00am
Building a Brain Map: Ethical Issues on the Frontier of Neuroscience
Timothy Brown
10:00am
Coffee Break
10:30am
Overview of a Diffusion Imaging Pipeline Using DIPY
Serge Koudoro
12:00pm
Lunch
1:30pm
Studying Human Functional Brain Networks: Two Paths to Reliability
Caterina Gratton
3:00pm
Coffee Break
3:30pm
Panel Discussion: Careers in Neuroimaging and Data Science
5:00pm
Networking and Pizza
Friday
9:00am
Dataset Showcase
Noah C. Benson
Ariel Rokem
10:00am
Coffee Break
10:30am
Learning with Nilearn: Statistical Learning, Machine Learning, and Alignment Applications in fMRI
Elizabeth DuPre
12:00pm
Lunch
1:30pm
Managing Python Projects with Pixi: From Zero to Reproducible Environments (Auditorium)
Don Setiawan
—OR—
Using GitHub Ecosystems to Your Advantage (103)
Serge Koudoro
3:00pm
Coffee Break
3:30pm
Good Practices in Developing Neuroimaging Biomarkers Based on Machine Learning Models
Wani Woo
Week 2
Monday
9:00am
Hackathon Pitches
10:00am
Coffee Break
10:30am
Hacking
12:00pm
Lunch
1:30pm
Hacking
3:00pm
Coffee Break
3:30pm
Hacking
Tuesday
9:00am
Stand-up
10:00am
Coffee Break
10:30am
Hacking
—OR—
CloudBank: free cloud computing resources!
Scott Henderson
12:00pm
Lunch
1:30pm
Hacking
3:00pm
Coffee Break
3:30pm
Hacking
Wednesday
9:00am
Stand-up
10:00am
Coffee Break
10:30am
Hacking
12:00pm
Lunch
1:30pm
Lightning talks
3:00pm
Coffee Break
3:30pm
Hacking
Thursday
9:00am
Stand-up
10:00am
Coffee Break
10:30am
Hacking
12:00pm
Lunch
1:30pm
Hacking
3:00pm
Coffee Break
3:30pm
Hacking
Friday
9:00am
Hacking
10:00am
Coffee Break
10:30am
Hacking
12:00pm
Lunch
1:30pm
Final Practice
2:00pm
Final Project Presentations
3:00pm
Coffee Break
3:30pm
Final Project Presentations
5:00pm
Farewell Reception
