The Lawrence Hall of Science
The public science center of the University of California, Berkeley.
Open Daily 10:00 a.m.–5:00 p.m. Animal Discovery Zone 11:00 a.m.–4:00 p.m.
We’ll bring our science programs to you.
We partner with school districts to support science learning. We offer district-wide elementary, middle, and high school programs, either virtually or in-person.
We collaborate with a range of partners to innovate in science education. Together, we go further.
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Entering 10 – 12
Artificial Intelligence (AI) is increasingly impacting our day to day lives, but how does it work? In this program, you will explore cutting-edge AI technologies and concepts as you learn about ongoing artificial intelligence research from Berkeley scientists and experts. You’ll develop your skills through hands-on coding workshops, creating machine learning models, and understanding of the mathematical concepts underpinning AI. You will gain skills and knowledge about artificial intelligence while adding valuable experience to your college and career pathways.
This program is in partnership with the Berkeley Artificial Intelligence Research (BAIR) Lab.
Parents are invited at 3 p.m. on the last day for teens to share their projects.
Session 1: 06/23/2025 – 06/27/2025No Residential Option
Session 2: 07/07/2025 – 07/11/2025 Optional Residential Add-on runs Sunday, July 6, 5:00 p.m. to Friday, July 11, 5:00 p.m. Residential add-on includes additional programming, on-campus housing, breakfast, and dinner. Limited spots available! Residential Tuition: $1,255
Session 4: 07/21/2025 – 07/25/2025 Optional Residential Add-on runs Sunday, July 20, 5:00 p.m. to Friday, July 25, 5:00 p.m. Residential add-on includes additional programming, on-campus housing, breakfast, and dinner. Limited spots available! Residential Tuition: $1,255
Wake-up for residential teens! Residential teens enjoy breakfast & walk together to campus
All teens sign in with instructorsWelcome activities and icebreakersOpening Circle- group check-in and framing the dayExplore STEM concepts and hands-on investigations in your trackMid-morning break with teens from other tracksHands-on investigations and exploration cont.
Lunch break in campus cafeteria Social time with teens from other tracks
Continued investigations and explorations in your trackVarious lab tours and guest speakersAfternoon break with teens from other tracksClosing Circle- reflection prompts and preview of what’s ahead
College Pathways ProgrammingCampus or other tours Meet and talk to current college students Meet and talk to professionals from a range of STEM career fields
Commuter teens sign out with instructorsResidential teens walk together to dorms and enjoy some well deserved downtime
DinnerEvening program Free time
Lights Out!
Srinidhi Karuppusami
Srinidhi Karuppusami is an undergraduate at UC Berkeley majoring in Applied Mathematics and minoring in Science and Math Education. She’s done data science coursework through her applied math major and has spent a summer working with genomics data at Berkeley Lab. As a peer advisor at Berkeley Career Engagement, she’s loved connecting with peers and hosting career development workshops. In K-12 classrooms, she cares about pushing students to make sense of, instead of just find answers to, technical problems and hopes that more students will feel confident to be critical of technology.
In her free time, she likes to journal, spend time in nature, listen to music, and cook.
Jaime Choy
Jaime is a 4th year undergraduate at at UC Berkeley majoring in Statistics and minoring in STEM education. In the near future, she will be pursuing her teaching credential with the CalTeach program. As a private tutor, Jaime is passionate about showing students the real-world relevance and utility of math. She is eager to contribute to the Lawrence Hall of Science’s mission of inspiring the next generation of STEM learners.
Jaime enjoys spending her free time eating hotpot with family and friends and playing video games.
Juan Villalobos
Juan Villalobos is a passionate and self-motivated individual, with expertise in Python, PyTorch, and TensorFlow. He has experience developing AI solutions for targeted marketing campaigns at AXM (Ars X Machina), improving data integrity for the UCSD Autism Center, and optimizing operations at Genentech. Juan has worked on various projects, including AI-powered image retrieval systems, predictive modeling, and CNN-based image classification. Juan holds a Bachelor’s in Machine Learning and Neural Computation from UC San Diego and is fluent in English and Spanish.
In his spare time you can catch him cooking food, exploring new areas (to eat food), and hiking.