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For students ready to continue meaningful work. Flexible, remote, and mentor-guided—enabling publications, competitions, and real contributions across semesters.
The Academic Year Program is a continuation pathway, not a separate product. Students who demonstrate readiness during summer programs—or through direct application—work with mentors throughout the school year on projects with real stakes.
Longer timelines enable deeper outcomes. Multi-semester projects create space for conference submissions, peer-reviewed publications, competition entries, and sustained contributions to ongoing research or systems.
High expectations. Serious work. Flexible structure. These are complementary, not contradictory—enabling deeper independent work while maintaining meaningful mentor relationships.
See where it leads
Kiersten started as a student, became a teaching assistant, and is now pursuing AI research at Vanderbilt. Her SeqHub project became her high school senior project — and a centerpiece of her resume.
Research Track
For students pursuing publications, conference presentations, or contributions to academic research.
Applied Track
For students building applications, entering competitions, or contributing to real-world systems.
Continuation Track
For students extending summer work with ongoing mentor guidance and structured support.
Flexible, Remote Structure
Weekly or bi-weekly sessions guided by mentor and student goals. Work at your own pace without compromising depth.
Sustained Mentor Relationships
Continue with graduate students and experienced practitioners who know your work, your trajectory, and your potential.
Publications & Competitions
Multi-semester projects create space for conference submissions, competition entries, and peer-reviewed contributions.
Independence Over Time
Develop the confidence and skills to continue meaningful work—with mentor support available when you need it.
Academic Year Mentorship Program
Mentorship, Not Instruction
Our mentors don't lecture. They guide, challenge, and collaborate—moving real work forward.
Mentors are researchers, practitioners, and builders with demonstrated expertise in their field. Every mentor brings real-world context, academic rigor, and the ability to guide students through open-ended challenges.
Mentorship is collaborative and personalized. Students don't watch videos or complete exercises. They work on authentic problems with structured support, regular feedback, and high expectations.
The focus is on moving real work forward. Mentors help students navigate complexity, make decisions under uncertainty, and produce artifacts that matter—papers, apps, research contributions.
Primary Mentor
Experienced practitioner or researcher
Direction, judgment, feedback
Teaching Assistant
Graduate or advanced scholar
Supporting mentors and students, debugging, momentum
AI Co-Teacher
Async scaffolding system
Available when mentors aren't
Why SeqHub AI Academy
We're AI researchers and K–12 educators with 30+ years of combined experience and advanced degrees from Yale, Stanford, and Brown. We build AI applications. We evaluate AI systems. We know what they can do — and where they break. And we know how students learn.
Most programs teach students to use AI. We go further: motivated students collaborate on real projects with experienced practitioners and researchers — learning to question AI's outputs, identify its limitations, and apply it responsibly.
Students leave with more than skills. They leave with judgment, agency, and the confidence to keep building with AI on their own.
How Enrollment Works
Enrollment is selective to protect quality and mentor capacity.
1
Submit a short application
Tell us about your background, interests, and goals.
2
We assess readiness and fit
We review each application to match students with the right program and cohort.
3
Families receive confirmation
Accepted students receive next steps, cohort details, and preparation materials.