I am a Postdoctoral Researcher in the Department of Pediatrics at Stanford University in the Marsden Lab. I am currently working on accelerating the computational solver of the opensource cardiovascular simulation package SimVascular by using GPU-based libraries.

During my doctoral studies at CFSM Lab, I developed and advanced an in-house finite element method (FEM)-based CFD solver to reduce the dimensionality and computational cost of simulating environmental flows, with a particular emphasis on wind turbine wakes and wind farm modeling. My work integrates variational multiscale (VMS) formulations, projection-based ROMs, and physics-informed machine learning techniques to improve both accuracy and efficiency in large-scale turbulent flow simulations.

I continue to explore the intersection of computational mechanics, applied mathematics, and machine learning to develop scalable, reliable, and high-fidelity simulation tools for real-world engineering challenges.

Research Focus

Computational Fluid Dynamics | Finite Element Method | Reduced Order Modeling | Turbulence Modeling | Variational Multiscale Method | Isogeometric Analysis | Actuator Line Method | Machine Learning | Data-Driven Methods | Physics-Informed Neural Networks | Fluid-Structure Interactions | Environmental Flows | Wind Turbine Modeling | Applied Mathematics | Aerodynamics | High Performance Computing