A Little About Me
I'm Paige (Ari) Lui, a computer science graduate with an interdisciplinary background in technology, health, and research. I'm interested in building thoughtful, practical solutions to complex problems—and understanding the people and systems those solutions serve.
My Background
My path into computer science began with an interest in understanding how complex systems work and how they affect people's lives.
I first studied food systems, nutrition, and health at the University of Washington, where I developed an appreciation for interdisciplinary approaches to real-world challenges.
That curiosity eventually led me to computer science. I wanted to move beyond studying problems and develop the technical skills to build tools, analyze data, and explore potential solutions.
Since then, I've worked on projects spanning full-stack development, machine learning, and scientific research. I'm especially drawn to opportunities where technical work intersects with other fields and creates meaningful connections.
The Journey So Far
Starting January 2027
Education
Seattle University
Continuing my education in computer science, with an interest in deepening my technical knowledge and exploring new opportunities in software engineering and applied computing.
Summer 2025
Research Experience
Inception Labs · Keimyung University, South Korea
Developed Python and R workflows for processing experimental eye-tracking data, extracting relevant features, and conducting statistical analyses. This experience strengthened my interest in scientific computing and data-driven research.
2022–2025
Education
Bellevue College
Studied computer science with an emphasis on data science, developing a foundation in programming, algorithms, software development, statistics, and machine learning.
2017–2021
Education
University of Washington
Explored the relationships between health, food systems, and society, building an interdisciplinary perspective on complex real-world challenges.
What Interests Me
I enjoy learning across different areas of computing and finding connections between technical disciplines and practical applications.
Designing and developing applications that are reliable, approachable, and useful to the people who interact with them.
Exploring how computational models can identify patterns, support decision-making, and address practical problems.
Using programming, statistical analysis, and thoughtful experimentation to investigate questions and communicate findings.
Beyond the Work
Outside of technology, I enjoy learning Mandarin, exploring new places, and connecting with people from different backgrounds. I value curiosity, continuous learning, and experiences that broaden my perspective.