// PhD Student

Jonathan Gallagher:
Learning Dynamical Systems for embedded applications

I work at the intersection of scientific machine learning and control. Im interested in how neural surrogate models can improve the way we make control decisions in resource constrained embedded environments. Currently a PhD student at the University of Waterloo.

Neural Operators Digital Twins Physics-Informed ML Nonlinear Control PDE Surrogate modeling Uncertainty Quantification Embedded Systems

Pre-Print

Accelerated Amine Based Carbon Capture Performance Optimization Leveraging A Fully Differentiable Neural Surrogate

Jonathan Gallagher, Roberto Guglielmi, Zhao Pan, Yunli Wang

2026

Pre-Print

Semi-Synthetic Data Augmentation for Computer Vision Applications in Aircraft Defect Detection

Jonathan Gallagher, Roberto Guglielmi, Derek Robinson

2025
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