nora su
computer science student at cu boulder
about
Hey! My name is Nora, and I'm a 3rd year undergraduate pursuing my bachelor's in computer science at the University of Colorado Boulder. I've always been interested in the potential of technology to improve quality of life. My current interests lie in the fundamentals of computing, particularly in algorithms and computational complexity. I have a vast, multidisciplinary background, including a data engineering internship at Apple, optical engineering research at Stanford, and human-computer interaction and deep learning research at CU Boulder.
Having grown up in Silicon Valley, I have always been surrounded by big tech and opportunities to learn about coding and engineering. My experience with computer science began with building Scratch programs and completing Hour of Code exercises in my free time as an elementary school student. I was also fortunate enough to have attended coding classes both in school and in summer camp throughout my youth. After beginning my program at CU Boulder, I have become even more excited by the potential to use computing to benefit society.
I am graduating in May 2026, a year early. In the near future, I will be returning to Apple as a summer intern and will begin my master’s in computer science at Carnegie Mellon University. I hope to gain the research experience and fundamental computing expertise needed to determine whether to pursue a PhD in algorithms, or to enter industry in a role where I can help improve the efficiency and reliability of real-world systems. In this portfolio, you will find a compilation of the skills and experiences I have accumulated throughout my undergraduate experience, embedded in a site that embodies my interest in creativity and design.
selected projects
phase difference prediction across 3d metasurfaces
Undergrad Research @ Fan Lab, Stanford University
Jun 2024 - Aug 2024
selected experiences
vice president
Run Club · CU Boulder
As vice president, I coordinate and lead group runs on campus. I participated all three years, and helped unite students on campus across various disciplines to create a supportive community.
data products engineering intern
Apple · Austin, TX
I worked as a data engineer intern at Apple, creating more efficient data products for experimentation on app store advertising fields. I will be returning for a Summer 2026 internship in New York City.
visiting research intern
Fan Lab · Stanford University Dept. of Computer Science
I worked in the Fan Lab under Professor Jonathan Fan as a research intern at Stanford University during the summer of 2024. I used Ansys FDTD and PyTorch to collect data and create a model to predict phase differences across 3d metasurfaces, varying materials and dimensions.
course assistant & learning assistant
CSCI 1300 · CU Boulder Dept. of Computer Science
I worked on the course team for CSCI 1300 (Intro to Computing) for four semesters. I help lead recitations, hold office hours, attend staff meetings to develop the curriculum, and answer questions online. I began as a Learning Assistant in Fall 2024, and transitioned to Course Assistant in Fall 2025 with similar duties.
vice president & corresponding secretary
Tau Beta Pi · Colorado Beta
I joined the TBP, the engineering honor society, as a freshman due to being in the top 1/8th of juniors by GPA and credit hours. I was corresponding secretary in my second year and vice president in my third year, overseeing community service and professional development activities. I represented our chapter at the District 12 Conference in spring 2025 and the National Convention in fall 2025.
undergraduate research assistant
CAIRo Lab · CU Boulder Dept. of Computer Science
I conducted undergraduate research in the CAIRo (Collaborative AI and Robotics Lab) Lab under professor Bradley Hayes. I gathered satellite data and trained a model to predict bounding volumes around buildings to contribute to a 3D reconstruction project. Previously, I helped facilitate user studies and analyze data to understand human reception of generative AI output.