A two-week day camp to introduce programming and machine learning to high school students. The program will be held online with Zoom.

The objective of the program is to introduce students to machine learning and programming through a project in which they program various machine learning algorithms to recognize images and make a self-driving toy car. Our mission is to give young students opportunities to learn about AI/ML and to allow students from diverse backgrounds to have more opportunities to access quality education.

The course consists of lectures covering conceptual level statistical, machine learning and programming components. Students will be introduced to various machine learning methods and algorithms as well as their applications in different fields including biomedicine. In parallel they will be introduced to the Python programming language, which will allow them to implement the concepts they have studied.

Students will participate in exercises using different methods for classifying images, and will be shown tools to continue learning and programming on their own. They will take pictures of physical objects and train their own classification algorithms including neural networks to recognize these objects. Once they achieve high-quality performance, they will install their program into a toy car equipped with a camera which will self drive using their programmed neural network.

Lunch hours will include conversations with machine learning experts from academia and industry who will share their life experiences and perspectives on data science.

Daily Schedule:

June 27-July 1, 2022 | 1:00pm – 3:00pm

  • Car construction office hours

July 5-July 8, 2022 | 10:00am – 3:00pm

  • 10:00am – 11:00am Bootcamp: Introduction to Programming/Python

  • 11:30am – 12:00pm Practice + Q&A

  • 12:00pm – 12:45pm Lunch Meeting with Guest Speakers

  • 1:30pm – 3:00pm Troubleshooting and programming with Toy Car

July 11-July 15, 2022 | 9:00am – 4:00pm

  • 9:00am – 9:45am Lecture on Statistics/ML

  • 10:00am – 10:45am Programming Practice

  • 11:00am – 11:45am Lecture on AI/ML

  • 12:00pm – 12:45pm Lunch Meeting with Guest Speakers

  • 1:30pm – 2:45pm Programming Practice

  • 3:00pm – 4:00pm Q&A, Trouble Shooting w/ Toy Car

Registration Deadline: May 15, 2022


Tuition for the program is free, but students are responsible for purchase of materials. Scholarships including stipend are available for eligible underrepresented students and those in need of financial support as defined by the NIH. A separate application for financial aid is needed to request funding support.

Support the Community:

If you are able to sponsor purchase of materials for another student, please consider making a donation to the CELEHS Data Science Summer Camp Fund. We encourage those who can help to provide opportunities to other students facing financial hardship.

To support the CELEHS Data Science Summer Camp Fund, please see Harvard Medical School’s gift instruction page. If writing a check, please note ‘CELEHS Data Science Summer Camp Fund’ on your check. If paying with a credit card, under the drop down menu titled ‘Select a Fund’ please select ‘Other’, and for ‘Other Fund Name’, please type ‘CELEHS Data Science Summer Camp Fund’. Thank you for your support of future data scientists!

Equipment Needed: List of materials

Eligibility Requirements:

The program is hosted by the Translational Data Science Center for a Learning Health System (CELEHS) at Harvard Chan School of Public Health and Harvard Medical School, and co-sponsored by the Prediction Analytics Research Solution and Execution (PARSE), a non-profit research organization. It is taught by a team of data science researchers including faculty members from Harvard, the University of Toronto as well as data scientists from Paypal Global Data Science. Teaching assistants will provide hands-on programming and technical support throughout the camp.

For more information, please contact Amanda King ().


Know your Instructors

Teaching Assistants:

Know your Teaching Assistants

Special thanks to Tabby Kemunto for making her car construction videos available and assistance with the equipment!


Support for the program is provided by CELEHS, NIH Aim-AHEAD consortium training CORE, PARSE and Paypal Global Data Science.

© 2018- CELEHS, Harvard University