James Y. Chen

First year PhD student at MIT EECS

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MIT EECS

Cambridge, MA

Welcome to my in-progress website!

I’m James and I’m an incoming PhD student in MIT EECS. I’m very excited to exploring my interests across learning, control and optimization over the course of my PhD. I’m currently interested in how we can apply machine learning to control in a robust manner, particularly for power grid applications.

I graduated from Caltech in June 2024 with a Bachelor of Science in Electrical Engineering. I worked on enforcing real-world constraints in learning-augmented online optimization with Professor Adam Wierman, as well as non-asymptotic information theory with Professor Victoria Kostina.

selected publications

  1. Enforcing Constraints in Learning-Augmented Online Optimization: Theory and Applications to Energy Systems
    James Yuxuan Chen
    California Institute of Technology, 2024