Brianna Chrisman
바이오 AI 연구 · Google 현장 경험
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.
Our Story
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 WebsiteMeet Our Curriculum & Teaching Team
AI + Teaching and Education
Our team leverages AI to educate students around the world.
John Cocjin
뇌과학 AI 연구 · NIH 프로젝트 경험
Stanford University
MS in Bioengineering
Stanford Master's in Bioengineering. Developing data tools to analyze brain imaging data at NIH and Stanford.
Greta Farrell
MIT 출신 · 수학 기초부터 AI까지
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.
AI + Business and Product Design
Our team leverages AI to build next-generation products and companies.
Catherine Lu
스타트업 창업 · Palantir 인수 경험
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.
Neal Jean
AI 창업 직접 경험 · 헬스케어 ML 연구
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.
Artem Trotsyuk
의료 AI 기기 개발 · Stanford 박사 연구
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.
AI + Social Good
Our team leverages AI to advance social impact.
Sarah Egler
Uber AI 실무 경험 · 백엔드 개발 전문
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.
Nisheeth Ranjan
시리얼 창업가 CTO · 핀테크 AI 실전
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.
Saahil Jain
Microsoft PM · AI × 헬스케어 커리어
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.
AI + Healthcare
Our team leverages AI to improve healthcare and medicine.
Peter Washington
의료 AI 연구 · 자폐 치료 앱 개발
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.
Sharon Newman
의료기기 AI · Stanford 공학 박사
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.
Sehj Kashyap
현직 의대생 · AI 의학 융합 전공
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.
AI + Neuroscience
Our team leverages AI to understand the human brain.
Anna Sappington
MIT 유전체 AI 연구 · 생명과학 진학 최적
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.
Tyler Bonnen
MIT · 막스플랑크 뇌과학 연구 펠로우
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.
Akshai Jagadish
AI 시각 지능 연구 · Stanford·버클리 강의
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.
AI + Autonomy and VR
Our team leverages AI to create new realities.
Eric Bradford
MIT 출신 · AI 로봇·메타버스 실전
MIT
MS & BS in Computer Science
Applies AI to augmented and virtual reality to simplify robotics manufacturing. Assisted in teaching data science courses at MIT professional education programs.
Kumar Ayush
컴퓨터 비전 AI · Stanford 연구원
Stanford University
MS in Computer Engineering
Researches how machines perceive, learn, and reason about the visual world.
Raunaq Bhattacharyya
자율주행 AI 개발 · Stanford 박사
Stanford University
PhD in AI
Designs advanced autonomous systems using AI and ML. Conducted autonomous driving research with Prof. Mykel Kochenderfer at Stanford Intelligent Systems Lab.
Meet Our Program Team
Adeesh Goel
Stanford 출신 · AI 교육 프로그램 총괄
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.
Jared Green
Harvard 출신 · 글로벌 학교 파트너 구축
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.
Maddie Bradshaw
Harvard 교육대학원 · AI 교육설계 전문
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.
Kuan-Chuen Wu
Stanford·Harvard 박사/석사 · 커리큘럼 총괄
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.
What is Inspirit AI?
An AI education program created by Stanford·MIT researchers that prepares students for the future through real AI projects.
0+Students Worldwide
25hIntensive Learning
0+Ivy League Admits
450+Stanford·MIT Instructors
Official Partnership
ALIX Education × Inspirit AI
ALIX Education is the official Korean partner of Inspirit AI, ensuring Korean students have access to world-class AI education.
ALIX
Curriculum Details
AI Scholars 25-Hour Intensive Curriculum
1-5
First Half
- 1AI Applications & Core Concepts
- 2Introduction to Python Programming
- 3Mini Project Hands-on Practice
- 4Machine Learning Fundamentals
- 5Data Analysis Fundamentals
6-10
Second Half
- 6Mentor-led Interdisciplinary AI Project
- 7Advanced Computer Vision / NLP
- 8College & Career Workshop
- 9Project Completion & Presentation
- 10Portfolio Finalization
Separate Advanced Cohort
2026 AI Projects
Real AI Projects with Social Impact
Computer Vision
TruthLens
Digital SecurityBuild computer vision models to detect AI-generated media and deepfakes.
Computer VisionMedical Imaging
Precision Medicine
HealthcareDevelop medical imaging AI models to automate colorectal cancer tissue classification.
Computer Vision
SmokeSignal
EnvironmentCreate early wildfire detection and risk assessment systems using satellite data and AI.
NLPData Analysis
AI & Future of Work
SocietyResearch the impact of Generative AI on the job market using NLP and data analysis.
Computer VisionDiffusion Policies
Embodied Intelligence
RoboticsTrain AI systems for robots performing search and rescue missions.
NLP
AI + Investing
FinanceDevelop AI to detect meme stock surges through social media sentiment analysis.
Alumni Impact
400+ Top University Admits, ISEF Finalists, Journal Publications
Top University Admits
Research Achievements
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
400+Top University Admits
150+Ivy League Admits (2 Years)
ISEFFinalists Produced
Global Partnerships
250+ K-12 Partner Schools
Inspirit AI partners with 250+ schools worldwide.
🕐
After-School Program
AI education that runs after regular classes, so students can learn AI without leaving school.
☀️
Summer Intensive Camp
Intensive AI education during summer break. Students accomplish more in a few weeks than most do in a semester.
📖
Elective Course Integration
Add AI as an elective in your school's curriculum. Students can earn course credit.
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
0+ Schools in Global Partnership Network
Stories from Students
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.”
Start Right Now
Join Inspirit AI through ALIX Education
01
Inquiry
Contact ALIX Education for program guidance
02
Choose Track
Select a track matching your level
03
Join
Attend classes and complete your AI project
FAQ
Frequently Asked Questions
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.