I have two major background domains: Mathematics and Physics. My research interests include data-driven methods for model- and data-order reduction (Koopman/Dynamic Mode Decomposition, Proper Orthogonal Decomposition, etc.), dynamical systems, deep learning, machine learning, and data science.

My primary Ph.D. project investigates how to enhance the optimization of aerodynamic structures (airfoils and aircraft) in unsteady flows using Dynamic Mode Decomposition (DMD). As a secondary project, I have been working on analyzing tidal flows through the Strait of Gibraltar using DMD and Koopman operator analysis. I also previously worked on a weather forecasting project using an artificial neural network.