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Limited seats available. Register by June 26 , 2026.

Build real AI projects with real mentors — for students in grades 7–12

Motivated students collaborate with experienced practitioners and researchers on focused AI projects with real deliverables; apps, research papers, and presentations that strengthen college applications and build the confidence to keep building with AI on their own.

Summer 2026 Enrollment Open

What Students Actually Do

Build AI-Powered Applications

Students have built apps submitted to the Google AI competition, stock analyzers, mental health platforms, and educational tools used in real-world contexts.

Learn Critical AI Literacy

Not just how to use AI—how to question it, validate it, and know when it fails. Students develop the judgment to use AI tools responsibly.

Work on Real Research

Co-authored papers accepted to NeurIPS, published in academic journals. Students contribute to peer-reviewed research alongside experienced mentors.

Featured Outcomes

Academy to Career

Kiersten

Chinese Language Tutor

Summer student turned TA, now a Vanderbilt sophomore. Actively contributing to AI research

Conference Publication

Marina

NeurIPS Workshop Paper

Co-authored research accepted to NeurIPS 2024 workshop on AI evaluation

Micro-Cohort + 1-on-1 → Career

Isabella

AI Mental Health Platform

Google AI competition finalist, now Youth Research Lead at Amora Health, admitted to Georgetown

Three Pathways

Discovery Program

3 weeks | 6–8 students per cohort

Introductory hands-on programs for grades 7–12. Students build foundational AI or engineering skills through guided projects, choosing online AI Fundamentals across three summer sessions or in-person Ocean Engineering in Westport, CT.

Ran Summer 2026

Project Lab

5 weeks | 3-4 students per cohort

For students with programming experience ready to do real work. Each lab is led by a practitioner working on the problem in their actual career. Students contribute to research, build production-quality components, and present at Demo Day.

Ran Summer 2026

1-on-1 Mentorship

5 weeks

For motivated students with a defined project of their own. We pair the student with a mentor matched to their interest and build a custom track around their work. Best for capstones, research projects, or ideas a student wants to take seriously.

Ran Summer 2026

Only 2 of 5 total seats remain for the 2025-26 Academic Year-Long experience

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Our Approach

We help students drive their own AI learning journey—mastering AI tools while developing the critical lens to question them—through projects that blend personal passions with mentor-guided exploration.

Limited to 10 Students Per Year

Three-Track Excellence Program

Start with programming foundations or dive into advanced AI research and development. All tracks feature personalized mentorship and real-world project outcomes.

Teaching Students
to Use AI

Students build real applications powered by AI, learning how to leverage AI tools (ex. Lovable for coding, NotebookLM for research) effectively while maintaining creative control.

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Student Projects:

  • Bond - A dating app for chemical elements

  • Theater app for performance analysis

  • RAG-enhanced information retrieval

  • Games (soccer, adventure, ecommerce)

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Teaching Students
to Be Critical of AI

Students learn to identify limitations, biases, and alignment and safety issues in AI systems through practical exercises and research.

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Student Projects:

  • Red-teaming AI systems

  • LLM sycophancy detection research

  • AI energy consumption analysis

  • Bias in medical question-answering

  • Systematic bias testing methodologies

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Teaching Students
Using AI

Our evolving Look-Think-Do AI Coteacher framework helps students to use AI as a learning catalyst guiding them to Look Attentively at content, Think Critically and Do Independently.


LTD Framework Applications:

  • Academic paper simplification

  • Concept exploration with AI assistance

  • Coding concepts with guided examples

  • Reading reflection support/guide

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10
Students Maximum
25-35
Hours 1:1 Mentorship
100%

Real Research Impact

RESEARCH FOCUS

Research Focus and Interests

Students engage with cutting-edge questions at the frontier of AI research.

Computers

AI Safety, Alignment & Interpretability

Investigating how AI systems behave, whether they're doing what we intend, and how to understand their decisions.

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  • Red-teaming exercises to expose model limitations

  • Evaluating chain-of-thought reasoning patterns

  • Testing models for deceptive behaviors

  • Environmental impact assessment of AI systems

Algorithmic Fairness & Bias Mitigation

Exploring how biases manifest in AI systems and developing methods to detect and address these issues.

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  • Cross-cultural AI behavior analysis

  • Detecting and measuring bias in language models

  • Developing bias audit methodologies

  • Evaluating mitigation techniques' effectiveness

Dot Pattern
  • Active Research

Race Identity and Social Environments (RISE) Lab

Brown University
Dr. Malik Boykin

Dot Pattern
  • Active Research

Technology Race and Prejudice (TRAP) Lab

Virginia Tech & Notre Dame

Dr. Broderick Turner (Virginia Tech),

Dr. Andre Martin (Notre Dame)

Research Communities

Dot Pattern
  • Active Research

Race Identity and Social Environments (RISE) Lab

Brown University
Dr. Malik Boykin

Research Communities

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Race Identity and Social Environments (RISE) Lab

Dr. Malik Boykin, Brown University

Technology Race And Prejudice (TRAP) Lab

Dr. Broderick Turner (Virginia Tech)

Dr. Andre Martin (Notre Dame)

T

Program Pathways

Choose the pathway that matches your experience level and goals.

Only 2 of 5 seats remain for the 2025-26 Academic Year

Full Academic Year Foundations Track

Build core programming skills through project-based learning in Java, Python, or Backend development.

TIME COMMITMENT

4-5 hours/week (1 hour with mentor + 3-4 hours independent work)

TOTAL MENTOR CONTACT

30 hours over the academic year

FORMAT OPTIONS

One-on-one mentorship with SeqHub tutors

PERFECT FOR

Students new to programming who want to build toward AI work

Programs start at $6,750

Full Academic Year Research & Applications Track

Investigating how AI systems behave, whether they're doing what we intend, and how to understand their decisions.

TIME COMMITMENT

4-5 hours/week (1 hour with mentor + 3-4 hours independent work)

TOTAL MENTOR CONTACT

30 hours over the academic year

FORMAT OPTIONS

One-on-one mentorship with SeqHub AI researchers

PERFECT FOR

Students with programming experience ready for advanced AI work

2/5 seats left

Summer Programs

Intensive summer experiences to explore AI concepts and build practical skills:

5-Week Mentor-Guided Experience

Exclusive 1:1 mentorship with SeqHub AI

researchers

3-Week Discovery Courses

Intensive 1:1 mentorship for advanced AI research projects

Job Interview

1:1 Collaboration with AI Practitioners

Our mentors are active AI researchers and practitioners at SeqHub as well as advanced graduate students & scholars in top Nigerian and US universities in the field of AI who guide you through personalized learning experiences.

What to Expect:

  • Weekly 1-hour sessions focused on your specific project

  • Co-working time where you collaborate directly with your mentor

  • Curated resources and concepts tailored to your learning path

  • 3-4 hours of guided independent work between sessions

  • Access to AI tools that complement (not replace) human mentorship

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"Our mentors help students develop both technical skills and critical thinking about AI's broader implications."

- Dr. Taiwo Togun, Co-founder

Abstract Digital Wave
I went with Marina to her presentation in San Francisco, and I watched her hold a conversation about her research with graduate students doing sophisticated work, and defend it. She was sixteen. That's when I understood what the Academy had actually given her.

Simona, parent · Cornell '30

I keep telling people how real the work was. Isabella didn't just build something for a class. She built something that opened a door. That's how she got her internship, and that's how she got her job at Emora Health. The Academy is the reason she had something to show.

Anna, parent · Georgetown '30

What I'm most grateful for isn't that the project ended up in Lucas's college applications. It's that the experience gave him real curiosity and real confidence. Those don't go away after the application is in. He carries them now.

Melody, parent · Brown '30

Where Students Have Gone Next

Cornell

Brown

georgetown

vanderbilt

neurIPS

digital orientalist journal

google gemini competition

Mentorship That Matters

Students work directly with graduate students, experienced practitioners, and researchers with demonstrated expertise in their fields. This isn't a lecture series—it's collaborative work on projects that produce real artifacts.

Ready to start?

Join the waitlist and be first to hear about new programs, cohorts, and opportunities. Enrollment is readiness-based, so we place students where they can thrive.

What to Expect in Your Learning Experience

Project-Based,
Practical Learning

You’ll work on structured AI projects, of your own design or based on SeqHub research and application projects ranging from algorithmic bias audits in large language models, simple chatbot development and healthcare AI solutions.

Mentorship and
Expert Guidance

Mentor-Guided students receive direct support from experienced AI practitioners through live sessions and 1:1 mentoring.
Self-Paced students have access to structured resources and guided exercises.

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Capstone
Projects

Student-Envisioned Capstone – Design and build your own AI project based on your interests. Tackle real-world challenges by developing AI solutions for issues like bias in AI models or healthcare applications.

What Learners Are Saying

From our LLM Summer Immersion Program

Here's what our learners built in 4 weeks

Meet our Co-Founders

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Co-founder

SeqHub AI Academy

Taiwo is an educator, data scientist, and social entrepreneur dedicated to nurturing young talent by equipping them with tools to be confident problem-solvers. He is the head of a thriving K–12 computer science program, where he excels at making complex technical concepts accessible for learners of all ages. With a Ph.D. in Computational Biology and Bioinformatics from Yale University and an Executive Master's in Technology Leadership from Brown University, Taiwo combines over twelve years of interdisciplinary experience in academia and industry to create rich, meaningful learning environments. At SeqHub AI Academy, Taiwo draws on his background in data strategy and AI research to design engaging, effective learning pathways. As Founder of a Data Science Consulting company that develops AI solutions for businesses from AI-powered chatbots for Sickle Cell Anemia support to education-focused conversational systems, he ensures the academy's curriculum connects directly with real-world applications. Currently a Visiting Scientist at Brown University's Race Identity and Social Environments (R.I.S.E.) Lab, Taiwo explores perceptions of fairness in machine learning algorithms, tackling critical questions at the intersection of AI and society. His commitment to preserving student agency while unlocking AI's potential underscores the academy's mission: to inspire the next generation of responsible, creative, AI-fluent problem-solvers.

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Co-founder
SeqHub AI Academy

J is an educator and programmer with a proven track record of designing innovative curricula and building technological tools that enhance both learning and organizational efficiency. A Stanford-educated history enthusiast, he combines a passion for understanding how systems work with a focus on creating impactful, user-friendly applications. For over a decade, J has taught subjects ranging from ancient cultures to robotics, bringing a dynamic, interdisciplinary approach to education. Beyond the classroom, he has developed web-based solutions that streamline administrative tasks for an entire school and AI-powered solutions that enhance student learning, effectively merging pedagogy with practical technology to elevate the student learning experience. At SeqHub AI Academy, J integrates his deep teaching expertise with technical know-how to foster hands-on, transformative projects. Drawn to the academy's commitment to serving diverse communities, from high schoolers in the U.S. to university scholars in Nigeria, he brings a unique ability to adapt learning experiences for any age group and the empathy needed to meet learners where they are. Under his guidance, the academy's technology is thoughtfully architected to support the pedagogical vision, ensuring AI tools enhance rather than dictate the learning journey. His approach keeps the curriculum both accessible and challenging, helping students gain not just digital fluency but also the confidence to innovate in an AI-driven world.

Best in Class Features

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Personalized Learning Paths

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Advanced Analytics & Reporting

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Mobile-Friendly Access

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Our Student Voices

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Michael Brown

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Emily Clark

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James Lee

Graduate Mentor Interest Form

Join SeqHub AI Academy in mentoring high school students on exciting AI research projects this summer

Expertise

Select all that apply

Interest

Select all that apply

What days and hours are you typically available in the summer?

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