About

A technical path shaped by athletics, autonomy, and systems work.

I am focused on autonomous vehicle development, especially controls and reinforcement learning, with experience in both model-based and data-driven architectures.

My current interests include physics-informed reinforcement learning, control authority, and stability and robustness for high-speed autonomous vehicle settings including racing, emergency-response, and off-road mobility.

I have been a Track & Field athlete for over a decade. The training environment built consistency, resilience, and comfort performing under pressure—qualities I carry into engineering and research work.

Outside academics, I enjoy reading about fragrances and industry news, sampling new scents, and writing reviews.

Education

Academic background.

University of Southern California wordmark

University of Southern California

Master of Science, Computer Science

Aug 2024 – Expected May 2026

Relevant coursework

  • Introduction to Online Optimization
  • Probability for Electrical and Computer Engineers
  • Robotic Perception
  • Autonomous Cyber-Physical Systems
  • Machine Learning Optimization
  • Advanced Data Stores
  • Database Systems
  • Analysis of Algorithms
  • Audited: Robust Multivariable Control, Non-Linear Control Systems, Robot Learning, Extreme Environment Robotic Autonomy
University of Texas at Arlington wordmark

University of Texas at Arlington

Bachelor of Science, Computer Science

Certificate: Unmanned Vehicle System Development

Aug 2021 – May 2024

Relevant coursework

  • Unmanned Vehicle System Development
  • Neural Networks & Deep Learning
  • Senior Design Project I/II
  • Intro to Unmanned Vehicle Systems
  • Autonomous Robot Design and Programming
  • Intro to Machine Learning
  • Intro to Computer Vision

At a glance

Additional context.