About Raul Valle

I am a Ph.D. student in Electrical and Computer Engineering at the University of Florida. My current research in the SmartDATA Lab builds machine-learning surrogate models for computational fluid dynamics — fast learned stand-ins for expensive physics solvers that are audited against the physics they approximate. That work sits on a foundation of signal processing, time-series machine learning, and neuroengineering built in the Computational NeuroEngineering Lab.

The work that matters most to me sits at the intersection of physical modeling, signals and systems, and machine learning. I care about models that remain interpretable under noise, limited data, and real deployment constraints instead of only looking good in idealized benchmarks.