Hi! I’m a fourth-year undergraduate student from the island of Saipan in the Northern Mariana Islands, studying Computer Science and Data Science at UC Berkeley.
I’m passionate about finding ways to make computing and data science education more equitable and accessible. I discovered my passion for computing education through my position as an undergraduate teaching assistant for Data 8: Foundations of Data Science (UC Berkeley’s largest course!), teaching weekly discussion sections across core data science topics using Python and Jupyter notebooks.
I also organize as a proud member of UAW Local 4811, the union of academic workers at the University of California. I’m currently in my eighth semester as an academic worker, and I’ve experienced firsthand the importance of having a strong union in maintaining the quality of instruction that students deserve.
I’ve been a teaching assistant for lower-division data science courses at UC Berkeley since Summer 2024, the summer after my sophomore year. I’m passionate about expanding access to the computing classroom, and practicing inclusion through pedagogical practices and culturally responsive curriculum. I believe inclusion means more than just helping students feel comfortable in the classroom—but finding ways to ensure that they recognize they truly belong in the field.
Most recently, I was the head teaching assistant for Data 6: Introduction to Computational Thinking with Data, funded through an NSF Improving Undergraduate STEM Education (IUSE) grant. The course was designed primarily for social students and emphasizes rigorous computational problem-solving to prepare students for computational social science research and advanced computer science coursework. I contributed to curriculum development and instruction across topics including Python fundamentals (iteration, conditionals, functions), data visualizations, table manipulation, HTML web scraping, API usage, and qualitative coding.
Before then, I was a teaching assistant for Data 8: Foundations of Data Science, which teaches core data science concepts across statistical inference, data analysis, and computational thinking through Python and the pandas-based datascience library. Data 8 is the first course where I felt capable of success as a programmer, and I’m grateful to have had the privilege of teaching hundreds of students in my discussion sections and helping them recognize their potential and ultimately see themselves as data scientists.
I make all my teaching materials public! Here are my teaching materials from the Summer 2025 iteration of Data 8.
(in progress!) My research interests are centered on computing education—specifically in designing curriculum and pedagogical approaches that expand access to computing for nontraditional and underrepresented students, while fostering deep conceptual understanding and a true sense of belonging.