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Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations
// PhD Student
My interests lie at the intersection of Deep Learning, and Control Theory. Broadly, I'm interested in how learned representations can improve the way we reason about control decisions for PDE systems. Lately, I've been excited about Joint-Embedding Predictive Architectures (JEPA) and recently wrote the first paper using JEPA for PDE Control. I am really excited about this direction and foresee working on it for the remainder of my PhD. Currently a PhD student at the University of Waterloo.
Selected Publications
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