We are dedicated to providing students with the education and resources to build a better future. Our team members, from top universities across the US, use the power of AI to solve the world's most pressing problems across education, healthcare, business, neuroscience, social good, and autonomy.
An AI education program created by Stanford & MIT leaders, sharing how AI transforms industries across education, healthcare, business and more.
Visit Inspirit AI Official WebsiteOur team leverages AI to educate students around the world.
High School Curriculum Developer
Stanford University
PhD in Bioengineering
Stanford PhD in Bioengineering, Yale BS in Biomedical Engineering. Works in Dennis Wall's lab in computational genomics. Previously software engineer at Google.
Curriculum Developer
Stanford University
MS in Bioengineering
Stanford Master's in Bioengineering. Developing data tools to analyze brain imaging data at NIH and Stanford.
Middle School Curriculum Developer
MIT
BS in Mathematical Economics
MIT Bachelor's in Mathematical Economics. Taught middle and high school math. Developed mastery-based curricula at Khan Lab School.
Our team leverages AI to build next-generation products and companies.
AI Projects Advisor
Stanford University
MS/BS in Computer Science
Stanford MS/BS in Computer Science. Investor at Spike Ventures. Previously Director of Product at Datavisor. Co-founded retail AI company acquired by Palantir.
AI Projects Advisor
Stanford University
PhD in Electrical Engineering
Stanford PhD in Electrical Engineering; Georgia Tech BS in EE; Duke BS in Economics. Working on AI-focused startup. Using ML for sustainability and healthcare in Stanford AI Lab.
AI Projects Advisor
Stanford University
PhD+MS in Bioengineering and CS
Stanford PhD+MS in Bioengineering and CS; UC Davis BS. Using bioengineering with AI for wound healing. Developing AI-powered smart bandages.
Our team leverages AI to advance social impact.
Software Engineer
Stanford University
MS in Computer Science
Stanford MS in Computer Science; University of Washington BS. Backend software engineer. Previously worked at Uber on AI for face verification and crash detection.
CTO / Entrepreneur
Stanford University
MS in CS (AI)
Stanford MS in CS (AI); Cornell BS in CS. CTO of HoneyBee fintech. Previously co-founded IntroRocket and BrightFunnel. Engineering roles at Netscape, Liveops, Trulia.
Product Manager
Stanford University
MS in Computer Science
Stanford MS in CS; Columbia BS in CS and Economics. Product manager at Microsoft on Office 365. Interested in AI applications to healthcare.
Our team leverages AI to improve healthcare and medicine.
AI Healthcare Researcher
Stanford University
PhD in Bioengineering + MS in CS
Stanford PhD in Bioengineering + MS in CS; Rice University BS. Developing AI-powered digital therapeutics for children with autism. ML research on measuring human behavior.
Biomedical AI Engineer
Stanford University
PhD in Electrical Engineering
Stanford PhD in Electrical Engineering. Improving access to medical technologies in low-resource settings. Developing biosensor devices for early disease detection using AI.
Public Health Data Scientist
Duke University
M.D. Candidate
M.D. Candidate at Duke University; Stanford MS in Biomedical Informatics. Led health outcomes research with Noora Health using data science for public health innovations.
Our team leverages AI to understand the human brain.
Marshall Scholar | CS & Biology
MIT
BS in Computer Science & Biology
Anna has worked in multiple AI labs at MIT including Aviv Regev's lab and Sangeeta Bhatia's lab. She applies AI to genomics to map every cell in the human body.
Neuroscience Researcher
Columbia University
BA in Chemistry & Comparative Literature
Completed research fellowships at the Max Planck Institute in Leipzig and MIT Brain & Cognitive Sciences. Uses computational models, neural data and animal behavior to establish relationships between perception and memory.
Vision Science Researcher
Stanford University
PhD in Vision Science
Researches artificial neural networks and how the human brain creates perception. Designed and taught courses in computer vision, neurobiology, and contemplative science at UC Berkeley and Stanford.
Our team leverages AI to create new realities.
AI + AR/VR Engineer
MIT
MS & BS in Computer Science
Applies AI to augmented and virtual reality to streamline robotics manufacturing. Assisted in teaching data science courses at MIT professional education programs.
Machine Perception Researcher
Stanford University
MS in Computer Engineering
Conducted research at the intersection of machine perception, learning, and reasoning, primarily from a visual perspective.
Autonomous Systems Researcher
Stanford University
PhD in AI
Designs cutting-edge autonomous systems using AI and ML. Conducted autonomous driving research with Prof. Mykel Kochenderfer at Stanford Intelligent Systems Lab.
Program Lead
Stanford University
MS in Management Science & Engineering
Stanford MS in Management Science & Engineering, UC Berkeley BS in Business Administration & Economics. Leads AI education development at Inspirit AI with K-12 school partnerships globally.
Director of Partnerships
Harvard University
BA in English & Languages
Harvard BA in English & Languages, UC Berkeley and Cambridge graduate studies. Builds global partnerships to deliver AI education to schools worldwide.
Director of Product
Harvard University
MS in Technology, Innovation & Education
Harvard Graduate School of Education MS in Technology, Innovation & Education; Stanford BS in Science, Technology & Society. Oversees program and product development at Inspirit AI.
Director of Curriculum
Stanford University
PhD in Mechanical Engineering
Stanford PhD in Mechanical Engineering, Harvard MS in Computational & Mathematical Engineering. CTO of ANI.ML Health Research and Director of Curriculum at Inspirit AI.
An AI education program created by Stanford·MIT researchers that prepares students for the future through real AI projects.
ALIX Education is the official Korean partner of Inspirit AI, ensuring Korean students have access to world-class AI education.
Build computer vision models to detect AI-generated media and deepfakes.
Develop medical imaging AI models to automate colorectal cancer tissue classification.
Create early wildfire detection and risk assessment systems using satellite data and AI.
Research the impact of Generative AI on the job market using NLP and data analysis.
Train AI systems for robots performing search and rescue missions.
Develop AI to detect meme stock surges through social media sentiment analysis.
Bliss Singhal
University of Pennsylvania
ISEF Finalist — Epileptogenic Brain Networks with Deep Learning
Aaisha Ansari
State ISEF
1st Place PA Academy of Science — ML for Supermassive Black Holes research
Jaymin
Princeton University (Class of 2029)
Won 2024 Princeton University Science Fair
Grant Lau
Journal of High School Science
Published predictive modeling for hotel reservation cancellations
Suhaan Khan
State TSEF
3rd Place State TSEF — AI in Gravitational Microlensing Detection
Dylan Po
State ISEF
OSCAR: Obstructive Sleep Apnea Classification ML Framework — Accepted to State ISEF
Shruti
Cornell University (Class of 2029)
Published in Journal of High School Science → Cornell admission
Inspirit AI partners with 250+ schools worldwide.
AI education program after regular classes. Students can learn AI right at school.
Intensive AI education during summer break. Achieve high results in a short period.
Integrated as an AI elective in the school curriculum. Credit-eligible.
Miami Country Day School
Miami, FL
Blue Ribbon School of Excellence
Khan Lab School
Mountain View, CA
Custom AI curriculum for juniors/seniors
The Nueva School
San Mateo, CA
Ongoing partnership since Winter 2025
La Cañada High School
La Cañada, CA
Summer 2025 in-person program
Hun School of Princeton
Princeton, NJ
AI Creators course for middle schoolers
Pilgrim School
Los Angeles, CA
AI Pioneers middle school elective
Northshore School District
Washington
Summer 2025 program
The Harker School
San Jose, CA
Korea International School
Seoul, South Korea
Seoul International School
Seoul, South Korea
Chadwick International
Songdo, South Korea
Genuine testimonials from Inspirit AI students
“My AI Scholars program equipped me well to start my career journey in tech.”
“This program put my application at a competitive advantage when applying to selective schools.”
“The primary impact engaging with Inspirit AI had on me was through genuine conversations with the people involved.”
Join Inspirit AI through ALIX Education
Contact ALIX Education for program guidance
Select a track matching your level
Attend classes and complete your AI project
The program is suitable for students in grades 4-12 who are interested in AI and machine learning. No coding experience is required, and we offer tracks from beginner to advanced levels.
Inspirit AI offers both online (live virtual sessions) and in-person camp formats. ALIX Education also operates in-person programs within Korea.
Upon completion, you receive a portfolio of real AI projects, a certificate of completion, and feedback from instructors.
The original Inspirit AI program is taught in English. ALIX Education provides Korean language support.
Program costs vary depending on the track. Please contact ALIX Education for accurate pricing.