Hi, I’m Victory Obieke, I am a Ph.D. student in Mathematics at Oregon State University working on energy-stable, structure- and symmetry-invariant numerical methods for nonlinear electromagnetic wave propagation. My research centers on the development of generalizable high-order numerical methods for ultrafast light–matter interaction in nonlinear and dispersive optical media.

I design and analyze auxiliary-differential-equation (ADE) solvers with provable discrete energy identities and CFL stability constraints, and perform large-scale parameter-sweep studies to investigate harmonic generation, soliton-like pulse dynamics, and nonlinear stability regimes at extreme intensities. My work includes building fully reproducible Python-based simulation pipelines and scalable 3D electromagnetic tools for virtual prototyping of photonic devices and frequency-conversion systems.

In parallel, I develop physics-constrained machine-learning and differential-programming frameworks that couple convolutional neural networks with differentiable optical forward models. These multimodal pipelines integrate scanning electron microscope (SEM) images and spectral data to enable gradient-based inverse design and structure–property learning for nanophotonic materials and metasurfaces.

Beyond research, I am actively involved in mentoring and leadership through the Association for Women in Mathematics at Oregon State University, where I contribute to building inclusive and collaborative communities within the mathematical sciences.