About

I am a computational scientist working on multiphysics fluid dynamics, with a background in aerospace engineering and applied physics. I am currently a postdoctoral research associate at the Translational AI Center (TrAC) at Iowa State University, where I develop finite element methods and machine learning tools for turbulent and multiphase flows.

At TrAC, my work spans variational multiscale finite element formulations for the incompressible Navier–Stokes equations, neural-network constitutive closures for non-Newtonian multiphase flows, and coupled Nernst–Planck and multiphase flow models for electrokinetic transport in electrochemical systems. These methods are validated on large-scale simulations of turbulent channel, airfoil, cylinder wake, and Taylor–Green vortex flows using high-performance computing.

I received my Ph.D. in Aerospace Engineering from Virginia Tech, where my research focused on fusion-relevant liquid metal dynamics for Z-pinch fusion experiments. My dissertation developed a Maxwell–Navier–Stokes solver for the free surface deformation of liquid metal walls under injected electric current, solving Maxwell's equations directly in potential form alongside the Navier–Stokes equations for single- and two-phase flows.

My areas of interest include computational fluid dynamics, finite element and finite volume methods, scientific machine learning, high-performance computing, multiphase flows, magnetohydrodynamics, electrokinetics, and turbulence.

Outside of work, I enjoy swimming, hiking, snowboarding, and reading fiction.

Education

Research Interests

• Scientific Machine Learning
• High Performance Computing
• Numerical Methods (FEM, FVM)
• Magnetohydrodynamics
• Fluid Modeling in Plasma Physics
• Electromagnetism
• Turbulence
• Multiphase Flows