Christopher Yeh

Chris Yeh develops foundational algorithms and datasets for deploying reliable AI in critical energy, sustainability, and scientific applications, contributing theoretical insights with practical impact.

Christopher Yeh is completing his PhD in Computing and Mathematical Sciences at Caltech where he develops new methods for uncertainty quantification of AI models to achieve reliability guarantees for risk-sensitive challenges across energy, sustainability, and scientific applications. Advised by professors Yisong Yue and Adam Wierman, Chris is a Caltech Resnick Sustainability Institute Scholar, and he is grateful for support from the Quad Fellowship.  He holds B.S. and M.S. degrees in Computer Science from Stanford University, and a M.M.S. in Global Affairs from Schwarzman College, Tsinghua University.

As a Harvard Environmental Fellow, Chris will work with Professors Le Xie and Na Li in the School of Engineering to explore AI foundation models and multi-agent reinforcement learning algorithms for increasing the reliability of and reducing the emissions from the electricity grid.

Faculty Hosts: Le Xie and Na Li, John A. Paulson School of Engineering and Applied Sciences