Biography

As long as I could remember I always had a sense of curiosity of understanding the world around me. However, when I was younger, I didn’t know how to turn that curiosity into something meaningful. Throughout school, I searched for direction, unsure where my interests would lead. Everything changed during COVID, when I decided to learn how to code. What started as a small challenge during lockdown became the moment that shaped my path. Coding allowed me to combine logic with creativity and opened the door to Artificial Intelligence and Data Science as the pursuit that was right for me since at point in time it was still uncharted, and I wanted to be a part of that. Attending community college became a pivotal step in channeling that passion and expanding my horizons. During that time, I was accepted into a Research Experience for Undergraduates program, which became a defining moment. It showed me that research and higher learning were where I could channel my ingenuity toward something greater. These experiences continue to guide me today as I explore the growing world of AI. I’m grateful for the opportunities that shaped me and made me the person I am now.

Academic Information

Status: Undergraduate Student

Year in Program: 3rd

Major/Specialty: B.S Physics with a Specialization in Computational Physics.

Degrees: B.S Physics with a Specialization in Computational Physics - University of Houston - Clear Lake (Completed in Summer 2027). A.S Computer Science - San Jacinto College (Earned in Fall 2024).

Research Areas

Computer Science; Data Science; Machine Learning/AI; Physics

Research Interests

My inclination towards academia and higher learning is how I am able to display my eagerness and determination because it fosters my curiosity, and champions that personal drive for innovation and creativity in one way or the another for the greater good. And through my experience and lessons that I gained from participating as well as contributing to REU programs, I gained practical exposure of understanding how research methods go. This experience solidified my interest in applying machine learning and data science techniques to real-world problems. I am particularly interested in exploring how intelligent systems can be optimized for efficiency, interpretability, and ethical use through Large Language Models.

Topical Areas

Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science; Informatics, Analytics and Information Science; Other Computer and Information Sciences; Statistics and Probability; Visualization and Human-Computer Systems

Relevant Coursework

Programming Fundamentals I Programming Fundamentals I Introduction to Engineering Robotics Fundamentals

Publications & Research Projects

I have done research from 2024 to 2025 at Rice University as part of two Research Experience Undergradate internship programs which were held during the summer. My first research experience in the summer of 2024 at the Preston Innovation Laboratory (PI Lab) where I did a retrofit on a 3D printer where I replaced the extruder and designed a new extruder so it can be capable to extrude food paste. And the most recent one was in the summer of 2025 at the Emerging Quantum & Ultrafast mAterials Laboratory (EQUAL/Zhu Lab) where I created an LLM model to help find data from a specific line on a graph. But both projects have been proof-of-concept thus far.

Faculty Mentor

Liwen Shih