Hello! ◡̈ I am a recent Computer Science graduate from Texas A&M University–Corpus Christi. I graduated with a BS in Fall 2025, with minors in Mathematics and Criminal Justice.
I seek to pursue a Ph.D. Fall 2027 in CS, building safe, trustworthy AI systems through interpretability, alignment, and rigorous evaluation, with a career in academia, supported by three NSF REUs, a visiting student researcher position at KAUST, and teaching experience.
Currently at KAUST, I work on adaptive inference: building a unified framework to fairly compare early-exit neural network routing strategies for varying downstream tasks. I also work on agentic AI safety, identifying alignment failures and unsafe behavior in LLM agents across three NSF REUs.
Beyond research, I taught College Algebra recitations, completed NSF mechatronics training at Michigan Tech, served as a CAHSI advocate, and led statewide student volunteer efforts in my home state of Texas.
At KAUST as a Visiting Student Researcher in the CyberSaR lab, working on comparative evaluations for adaptive inference/early-exit neural networks for varying downstream computer vision and NLP tasks.
- July 2026 Starting at KAUST as a visiting student researcher!
- Dec 2025 Graduated magna cum laude!
- Nov 2025 Awarded a $1,700 conference scholarship from AAAI 2026 out of a highly competitive pool of applicants!! Award
- Oct 2025 Student abstract received a strong acceptance at AAAI 2026, and selected from accepted abstracts for the 3MT competition — an acceptance rate of only 11%! Read it here. Publication
- Oct 2025 Published first first-author paper at IEEE CogMI AIRET. Read it here. Publication
- Oct 2025 Won second place at the National GMiS Data Analytics Challenge with an R² score of 0.98 — only 0.000001 off of first place!! Award
- Jul 2025 Awarded a scholarship to attend the Great Minds in STEM (GMiS) Conference, Student Research Poster Competition. Award
- May 2025 Completed the NSF ExLENT Mechatronics and Robotics program at Michigan Technological University, which includes hands-on labs in mechanical, electrical, and robotics engineering, visits to industry partners, and 5-month online training.