Charles Yang
Charles Yang is a master’s student at UC Berkeley studying Electrical Engineering and Computer Science. He is also affiliated with the Lawrence Berkeley National Laboratory. His research focuses on applying artificial intelligence to solve scientific and engineering problems, including discovering new optical materials and optimizing power-grid dynamics.
publications
Emerging Technology
day one project
Policy Memo
Automating Scientific Discovery: A Research Agenda for Advancing Self-Driving Labs
Despite significant advances in scientific tools and methods, the traditional, labor-intensive model of scientific research in materials discovery has seen little innovation.
01.31.24
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7 min read
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Climate & Energy
day one project
Policy Memo
Building Back with a Cleaner Power Grid for America
Achieving energy decarbonization in America will require a clean power grid supplied by renewable energy and backed by ample energy storage.
04.01.21
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8 min read
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