CV

Summer Intern

Quantinuum

Improved the simulation and design suite by developing adjoint optimization and domain decomposition methods to expedite the iterative design flow.

• Improved the simulation and design suite for faster iterative design.
• Applied adjoint optimization to accelerate inverse design workflows.
• Developed domain decomposition methods to speed up large-scale simulation and optimization.

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

• Completed graduate coursework in computing and simulation.

Bachelor of Science

Mississippi College

Electrical Engineering

• Built a foundation in electromagnetics, instrumentation, and applied engineering.

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.

Improving Surrogate Model Performance by Training Neural Operators on Full PDE Solution Data

In Preparation for ICML 2026

Co-authored work on surrogate model training from full PDE solution data.

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.