CV

Metasurface Design Intern

Quantinuum

Developed high-performance electromagnetic simulation and inverse-design workflows for fabrication-constrained metasurfaces in trapped-ion quantum architectures.

• Accelerated multi-GPU FDTD electromagnetic solvers using domain decomposition methods for large computational domains.
• Built high-throughput forward and adjoint simulation pipelines, reducing iteration runtimes from weeks to days.
• Designed multifunctional metasurfaces for focusing and collimation under foundry-ready fabrication constraints.

Research Assistant & Teaching Assistant

Georgia Institute of Technology

Researching inverse design in nanophotonics and supporting graduate instruction.

• Designed metalenses for focusing, holography, and wavelength multiplexing using adjoint-based optimization.
• Developed high-fidelity physics simulations to model wave interactions with complex media using COMSOL, FDTD, and RCWA.
• Trained and deployed surrogate models for electromagnetic scattering and heat transfer problems.
• Taught and mentored graduate students in computational photography and machine learning.

Fiber Optics Intern

Corning Inc.

Automated optical metrology systems and developed software interfaces for precision measurement.

• Automated an optical metrology system integrating a laser, interferometer, and optical switches.
• Developed software interfaces and synchronized communication protocols for device control and data acquisition.
• Built applications that let technicians configure test setups and automate strain calculations from spectral-shift data.
• Transformed a labor-intensive, multi-operator workflow into a single-operator process, reducing test time by 8x.

Research Electrical Engineer & Engineering Intern

U.S. Army Corps of Engineers

Designed and deployed advanced measurement systems in both field environments and anechoic chambers.

• Designed and deployed antennas, cameras, signal generators, and frequency analyzers for measurement campaigns.
• Designed and implemented a ground-based synthetic aperture radar rail system for high-resolution object signature capture.
• Developed and integrated high-fidelity lidar and radar sensor models into a physics engine for autonomous-vehicle simulations.

Tutor and Lab Assistant

Mississippi College

Assisted in teaching physics, circuit theory, and microcontrollers to undergraduate electrical engineering students.

• Led hands-on lab sessions and mentored students in troubleshooting complex circuits.

Doctor of Philosophy

Georgia Institute of Technology

Computational Science and Engineering

• Advised by Raphaël Pestourie.

Master of Science

Georgia Institute of Technology

Computer Science

• GPA: 4.0 / 4.0.
• Completed graduate coursework in computing and simulation.

Bachelor of Science

Mississippi College

Electrical Engineering

• GPA: 4.0 / 4.0.
• Built a foundation in electromagnetics, instrumentation, and applied engineering.

Initial investigation of UAV swarm behaviors in a search-and-rescue scenario using reinforcement learning

Proc. SPIE 12549, Unmanned Systems Technology XXV

Work on reinforcement-learning-driven UAV swarm behaviors for search and rescue.

Object detection on aerial imagery to improve situational awareness for ground vehicles

Artificial Intelligence and Machine Learning for Multi-Domain Operations

Work on aerial image object detection for improved situational awareness.

Exploring new strategies for comparing deep-learning models

Artificial Intelligence and Machine Learning for Multi-Domain Operations

Comparative evaluation strategies for deep learning models.

Harnessing Data Efficiency with a Fixed-Point Iteration Analogous to Adaptive Mesh Refinement

SIAM Conference on Mathematics of Data Science (MDS24)

Poster presented at SIAM MDS24 in Atlanta, GA.