abby's digital garden

abby, a woman with tan skin and black hair with bangs. On mouse-over, an image of an orange cat and grey cat appear

welcome to my digital garden please pardon the chaos as it continues to grow

I'm abigail (abby) (she/ella) & I'm a Masters student in Computer Science at UC Berkeley where I study computing education & human computer interaction. I'm grateful to be supported by the GEM Fellowship and advised by Professor Lisa Yan. I care deeply about teaching and practicing computer science in a manner that is culturally relevant, liberatory, and offers individuals agency within the sociotechnical systems they inhabit. Beyond the classroom I keep busy with my cats Jícama y Mango

official publications

In my research I work to bring criticality to computing education. My recent work explores plurality & criticality in computing epistemologies, software development practices for educational technology, and sociotechnical education.

A. Brooks-Ramirez and L. Yan. 2026. Towards Pluriversal Computing: Exploring Critical Epistemologies of Teaching Assistants. Forthcoming in RESPECT 2026.
A. Brooks-Ramirez and L. Yan. 2026. By and for Teaching Assistants: Homegrown Tools in Computing Classrooms. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2026). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3770761.3777245
A. Brooks-Ramirez, R. Dang, B. A. Ventura Benitez, and L. Yan. 2025. Scaling Responsible Data Science Education: The Role of a Teaching Assistant in Bridging the Sociotechnical Divide. In 2025 ASEE Annual Conference & Exposition Proceedings. ASEE. DOI: https://doi.org/10.18260/1-2--57629
K. Patel, A. Brooks-Ramirez, R. Dang, B. A. Ventura Benitez, and L. Yan. 2025. Exploration of Undergraduate Teaching Assistant Identity and Teaching Goals in Data Science Courses. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2025). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3641555.3705179
A. Brooks-Ramirez, 2025. A Survey of Modeling Context in Recent NLP Work. Final Paper for Natural Language Processing (Info159), UC Berkeley, Berkeley, CA. Access here