2026 Future Labs Summer School

Materials Science in the Era of Automation and AI/ML

July 27–29, 2026 · Lawrence Berkeley National Lab

Robotics and AI are transformative tools for scientific discovery and integral components of future laboratories. The primary goal of the summer school is to engage students in materials science in the era of automation and AI/ML. Through lectures, coding tutorials, hands-on robotic hardware integration and robotic synthesis experiments, participants will explore closed-loop experiment design, machine learning, data handling and visualization, as well as hands-on lab work to create thin film and nanocrystal semiconductors using different robotic platforms.

We aim to foster the development of the future workforce in materials science, engineering, computer science, physics, and related fields, anticipating that science and research will increasingly integrate artificial intelligence and machine learning (AI/ML).


Who is eligible to register?

  • Professionals, postdocs, graduate students, undergraduate students.
  • All coding activities will have ChatGPT-assisted coding, no Python or coding experience required.
  • This is an in person event limited to 45 participants.

Please read:

  • Bring your own laptop.
  • Long pants and close-toed shoes required to enter labs.
  • Site Access: All foreign nationals visiting Berkeley Lab require Department of Energy approval. It may take up to 60 calendar days to complete.
Registration Closed: Event is Full

Organizers

Shijing Sun

Shijing Sun

Associate Professor

University of Cambridge

Carolin M. Sutter-Fella

Carolin M. Sutter-Fella

Staff Scientist

Lawrence Berkeley National Lab

Yuanyuan Zhou

Yuanyuan Zhou

Professor

Hong Kong University of Science and Technology

Aldair Ernesto Gongora

Aldair Ernesto Gongora

Staff Scientist

Lawrence Livermore National Lab

Experimental Instructors

Stephanie Ribet

Stephanie Ribet

Staff Scientist

Lawrence Berkeley National Lab

Peter Ercius

Peter Ercius

Staff Scientist

Lawrence Berkeley National Lab

Yi-Ru Liu

Yi-Ru Liu

PhD Student

Lawrence Berkeley National Lab

Tim Kodalle

Tim Kodalle

Staff RA

Lawrence Berkeley National Lab

Yalan Zhang

Yalan Zhang

PhD Student

Hong Kong University of Science and Technology

Emory Chan

Emory Chan

Staff Scientist

Lawrence Berkeley National Lab

Chia-Feng Li

Chia-Feng Li

PhD Student

National Taiwan University

Abigail Hering

Abigail Hering

PhD Student

University of California Davis

Anne Pham

Anne Pham

Scientific Engineering Associate

Lawrence Berkeley National Lab

Luan Passini

Luan Passini

Postdoc

Lawrence Berkeley National Lab

Jungmin Hamm

Jungmin Hamm

PhD Student

University of California Berkeley

Young Gwon Jung

Young Gwon Jung

PhD Student

Gwangju Institute of Science and Technology

Data Science Instructors

Morgan Wall

Morgan Wall

Computer Systems Engineer

Lawrence Berkeley National Lab

Shuan Cheng

Shuan Cheng

PhD Student

University of Washington

Hemanth Neelgund Ramesh

Hemanth Neelgund Ramesh

PhD Student

University of Washington

Anika Promi

Anika Promi

Postdoc

Lawrence Berkeley National Lab

Marcus Noack

Marcus Noack

Staff Scientist

Lawrence Berkeley National Lab

Fabrice Roncoroni

Fabrice Roncoroni

Scientific Engineering Associate

Lawrence Berkeley National Laboratory

Administrative Support

Suksham Barun

Suksham Barun

Office/Administrative Manager

Lawrence Berkeley National Lab