Moonshot Lab
by Modo Academy
Where Teens Don't Just Learn AI—They Use It to
Change the World
Join our selective AI Accelerator led by Stanford graduate students and researchers. Build an AI project driven by your passion that will stand out in college applications—whether that's a published research paper, a launched app/startup, or a community project with real-world impact.
Join AI Spark ProgramProgram Supported and Awarded By
How It Works
This is not a one-size-fits-all class. Our two-phase program is designed to help you explore your interests and build something meaningful.
Phase 1: AI Spark Program
A 1.5-hour session where you'll explore project ideas, receive real-time guidance from Stanford mentors, and develop an initial prototype or roadmap.
Duration
1.5 hours
Class Size
4 students max
Required for admission to the 10-Week AI Accelerator. We use this session to evaluate your motivation, creativity, and follow-through.
Join AI Spark ProgramPhase 2: 10-Week AI Accelerator
By invitation only. Motivated students from Phase 1 join one of two personalized tracks with weekly mentorship from Stanford graduate students.
Duration
10 weeks
Sessions
1:1 + group coaching (1 hour/week)
AI Research Track
For students who want to publish papers or run experiments
AI Application & Startup Track
For students who want to apply AI to their field of interest, build startups, or launch community initiatives
By invitation only. Complete the AI Spark Program to be considered for this accelerator.
Our Programs
From initial exploration to long-term success, our programs are designed to guide you through every step of your AI journey
AI SPARK PROGRAM
1.5-hour Session
Explore AI project ideas with Stanford mentors and develop an initial prototype or roadmap. Required for admission to the 10-Week AI Accelerator.
10-WEEK AI ACCELERATOR
Selective | By Invitation Only
Weekly mentorship from Stanford graduate students to build your AI research paper, application, or startup with personalized guidance.
Research Track
Publish papers or run experiments
Startup Track
Build AI apps or startups
Complete the AI Spark Program to be considered for this accelerator
Example Projects
See what you can build in our AI Accelerator program
AI Project Showcase
Watch examples of AI research papers, applications, and startups built by students in our program
Success Stories
Hear from our students about their transformative experiences with Modo Academy
Thank you for letting me working on Q2L during my freshman year. I just found out someone else who worked at Q2L got an internship... I truly hope you can continue Q2L or continue your hackathon stuff to inspire new programmers.
Student
Johns Hopkins University
I just received an offer for MS EE at Stanford. Thank you so much for your time and mentorship throughout the program!
Student
Stanford University
The AI Accelerator program helped me discover my passion for machine learning and gave me the skills to build my first real AI project. The mentorship was invaluable.
High School Student
Research Track Participant
Student Stories
Watch fellow students share their experiences and showcase the projects they've built
Our Stanford Teaching Team
Learn from exceptional Stanford graduate students with expertise across AI, engineering, data science, and more
Johnny Chang
Computer Science Graduate Student, Stanford University
Head TA for Stanford's flagship AI courses, working with professors like Andrew Ng and Christopher Manning. Founded Stanford Founders with 1200+ members and AI x Education connecting 8000+ educators.
Angelina You
Management Science & Engineering, Stanford University
Five years of Data Science experience at Meta and growth-stage startups. Project manager at Statistics Without Borders, leading machine learning initiatives with nonprofits including UNICEF.
Cameron Hilman
Aerospace Engineering Graduate Student, Stanford University
Cameron Hilman is a graduate student in Aerospace Engineering at Stanford University, where his research focuses on cutting-edge applications in spacecraft design and fluid dynamics. Prior to Stanford, he earned his undergraduate degree from MIT, where he contributed to advanced aerospace research and worked as a research assistant at multiple labs.
Chinat Yu
Learning, Design, and Technology, Stanford University
MLH Top 50 honoree and seasoned hackathon organizer with experience in over 20 hackathons. Led the AI + Learning Differences Hackathon at Stanford in partnership with Stanford HAI.
Aditri
Computer Science Master's Student, Stanford University
Researches AI-powered tutoring systems under Professor Chris Gregg. Former AI Product Manager at Kira Learning and software engineer at Meta, with research experience at Carnegie Mellon.
Anushikha
Technology & Engineering Management, Stanford University
Taught numerous courses in entrepreneurship and product management, including the flagship Lean Launchpad. Former Product Manager with a background in Material Science and a trained artist featured by Stanford Arts.
Ready to Launch Your AI Project?
Join our AI Spark Program and discover your passion while building impressive projects with Stanford mentors.
🔥 Limited Availability
Only 4 spots left for each session! Our small-group format ensures personalized attention and maximum impact.
This is a limited-time offer. Secure your spot before they're gone.