I am a fourth-year Ph.D. student in Mathematics at Oregon State University, where my doctoral research focuses on developing high-order, structure-preserving, and uncertainty-aware numerical methods and machine learning surrogates for anisotropic and isotropic Maxwell equations in Kerr–Debye media with Lorentz dispersion. This work also encompasses inverse problems, uncertainty quantification, and optimization for the design and analysis of nonlinear optical materials, with the goal of improving predictive accuracy and computational efficiency in advanced photonic and engineering applications.

More broadly, my research interests include

• numerical analysis and scientific computing,

• structure-preserving numerical methods for ODEs, PDEs, DAEs, and coupled dynamical systems,

• computational electromagnetics and nonlinear optics,

• uncertainty quantification,

• inverse problems and PDE-constrained optimization,

• scientific machine learning (SciML),

• model reduction and surrogate modeling, 

• statistical modeling, and

• multiphysics modeling and large-scale nonlinear systems.

I am interested in developing efficient computational methods for complex scientific and engineering problems.

Alongside my research, I am a Graduate Teaching Assistant at Oregon State University and work remotely as a mathematics and statistics tutor with GauthExpert. I also have experience in front-end development, including building web applications with React. Outside academics, I enjoy helping others learn mathematics, playing soccer, and weightlifting.