Machine Learning, Information Theory, Quantum Information, Distributed Systems
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Works at the intersection of scalable machine learning, information theory, and quantum information. Focus areas include distributed training and communication efficiency, quantum‑assisted computation protocols, physics‑informed forecasting, and computer vision for constrained or privacy‑sensitive sensing.
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