Training the next generation of machine learning scientists
Exclusively for high-school students.
Taught by Stanford lecturers and TAs.
Accelerate your journey into ML
We believe that solving next-generation problems starts with educating the youth who will run it. We organize intensive programs that help students with no machine learning experience become competent ML engineers.
Who is it for?
A4 offers programs for various ages. Most group programs are for high-schoolers who have taken algebra 2 (or equivalent) and at least one computer science course.
Where are programs located?
A4 programs are held at various locations throughout the Bay Area. For details, see the programs page.
What program should I start with?
Most students should begin by enrolling in the introductory track of one of the weekend camps or one of the two-week programs. See the programs page for more info.
A world-class team
We believe the best instructors bring domain-specific expertise as well as a history of excellence in education. For this reason, all our instructors and founders are both experts in machine learning and experienced teachers, with backgrounds in academia, industry, and more. Meet our founding team below.
Nick works at a startup called Sage Digital, which applies machine learning models to location data. Nick is currently pursuing a degree in CS from Stanford.
Nitya does research in and has been a teaching assistant for courses on graphs, optimization, and machine learning. She is currently pursuing a PhD in mathematics from MIT.
Shreya does research in machine learning security and has published a few papers in AI conferences. Previously, she worked at Google Brain and earned her computer science degree from Stanford University.
Reese previously served as the Stanford lecturer for convex optimization, a course on the mathematics behind machine learning. He is currently pursuing a PhD in theoretical CS at Berkeley.
Student Success Stories
We are extremely proud of the work our students have been doing in A4 programs. Read about some of their accomplishments here.
Rohit Jammula - Funduscopy Diagnosis
As a part of the A4 mentorship program, high school senior Rohit Jammula worked on building an empirical evaluation metric for sorting the different deep learning models in funduscopy diagnosis, i.e. to determine whether an eye is healthy or has a specific disease: glaucoma, diabetic retinopathy, macular degeneration, etc.
His work began as a project during the 2019 A4 advanced summer program, Deep Learning in Computational Biology and was developed into an expanded research effort. The paper that arose out of this mentorship, Optimal Transfer Learning Model for Binary Classification of Funduscopies through Simple Heuristics was accepted for a poster presentation at the 2019 Machine Learning in Computational Biology (MLCB) Conference, where Rohit presented this past December in Vancouver, Canada.
Arjun Barrett - Infrared Imagery for Drunk Driving
Arjun, currently high school freshman, has been channeling his passion for machine learning since middle school. As an eighth grade student and as part of the A4 mentorship program, Arjun developed a mobile app that leveraged machine learning image techniques to identify drunk drivers from infrared images of their faces. His work has been recognized at the regional and national level; he won 4th place at the California Science and Engineering Fair and was selected as a 2019 Broadcom MASTERS semifinalist.