AI PROGRAM FOR

HIGH SCHOOL STUDENTS

FOUNDED AND RUN BY HARVARD GRADUATES

AI PROGRAM FOR
HIGH SCHOOL
STUDENTS

founded and run by Harvard graduates

Our Programs

AI Scholars

Learn about key concepts in AI from the experts. Build a guided project with a group of 3-5 students.

AI Fellowship

Work 1-on-1 under the mentorship of an AI expert. Create a novel AI model in a field of your interest.

Our Programs

AI Scholars

Learn the fundamentals of AI from researchers and practitioners. Build a real-world project in groups of 3-5 students.

AI Fellowship

1-on-1 mentorship from AI experts to create a novel AI model in your area of interest.

Where our mentors come from

Where our mentors come from

Our Mentors

Yiqiao

PhD in Statistics

COLUMBIA UNIVERSITY

____________

Predictive Machine Learning, Deep Learning, Interpretable Machine Learning, Quantitative Finance

Specialization

Dash

MS, Data Science

HARVARD UNIVERSITY

___________

Specialization

Causal inference in social policy and education

M.E. Computational Science and Engineering

Emma

HARVARD UNIVERSITY

___________

Specialization

Causal inference in social policy and education

Our Mentors

M.E. in Computational Science and Engineering

Emma

HARVARD UNIVERSITY

Specialization

______________________

Computational neuroscience, personalized medicine, adversarial machine learning.

______________________

______________________

PhD Candidate in Statistics

Yiqiao

COLUMBIA UNIVERSITY

Specialization

Deep Learning, Predictive and Interpretable Machine Learning, Quantitative Finance

MS in Data Science

Dash

HARVARD UNIVERSITY

Specialization

Causal inference in social policy and education

Message from our Program Director, Tyler Moulton

I was given a dataset with 10,000 stars and too many variables to count! I was overwhelmed, but lucky; my mentor, a data science savant and senior research at Cambridge, guided me towards mastering AI and leveraging to classify stellar types in the Orion Nebula. With his help, I was able to master the fundamentals of machine learning and first author my first research publication at the intersection of astronomy and AI!

I joined the Veritas AI team my experience tells me how incredibly formative a program ours can be in a young scholar’s development. AI might be a difficult field to access, but with the right curriculum, mentor, and overall support system, I believe any high school student can master the fundamentals of AI!

I myself have now worked with several of our astronomy students on AI projects (hazardous asteroid classification, anyone?), and get so excited at the different projects our mentors and students undertake together. From medicine and finance to art generation and literary analysis, I’ve seen AI applied across every field of study. Even more exciting, I’ve seen so many high schoolers empowered in their newfound mastery and impactful application of artificial intelligence.

Attending a small public high school, my school didn’t offer courses in computer science… let alone data science of Artificial Intelligence. By the time I reached my junior year at Harvard, I had only taken one course in computer science and felt that AI would be beyond my skillset. After all, only geniuses get to build AI software!

The summer after my junior year, I was lucky enough to attend Trinity College, University of Cambridge as a research fellow at the Institute of Astronomy. It was my first research experience, and I didn’t realize until my first day at the IoA just how data-driven scientific fields like astronomy truly are!

Tyler Moulton

Harvard University Class of 2020
Program Director, Veritas AI

Letter from our Program Director, Tyler Moulton

My small public high school didn’t offer courses in computer science, much less artificial intelligence. So, by the time I reached my junior year at Harvard as an undergraduate, I had only taken one course in computer science and felt that AI was beyond my skillset. Then, a summer in Cambridge using AI and Astronomy changed my trajectory.

The summer after my junior year, I was lucky enough to work at the University of Cambridge as a research fellow at the Institute of Astronomy. It was my first research experience, and I didn’t realize until my first day at Cambridge just how much data was in Astronomy!

I was given a dataset with 10,000 stars and too many variables to count. I was overwhelmed, but luckily, my mentor, a data science and astronomy researcher at Cambridge, helped me learn AI and leverage it to classify stellar types in the Orion Nebula. With his help, I wrote my first research publication at the intersection of astronomy and AI!



I joined the Veritas AI team because I’ve experienced firsthand how learning about AI can change a young scholar’s trajectory. AI might feel difficult for many students, but with the right curriculum, mentor, and support system, I believe any high school student can master the fundamentals of AI! That’s our mission.


I have worked with several of our students on AI projects (hazardous asteroid classification, anyone?), and get so excited at the different projects our mentors and students undertake together. From medicine and finance to art generation and literary analysis, I’ve seen AI applied across every field of study. I’m so excited to help students explore the world of AI - just like my mentor showed me! I hope you’ll join us.

Yours,
Tyler Moulton
Harvard College 2020 Graduate
Program Director, Veritas AI

Student Testimonials

FAQ’s

  • You can find our application form here: https://airtable.com/shrxkmoJaqCLX9ycl

  • Classes are held online via Zoom.

  • Yes, we offer need-based financial aid for students! We offer up to 100% of aid. You can indicate that you need aid directly in the application form, and you will automatically be considered!

FAQ’s

  • You can find our application form here.

  • Classes are held online via Zoom.

  • Yes, we offer need-based financial aid for students! We offer up to 100% of aid. You can indicate that you need aid directly in the application form, and you will automatically be considered!