Stanford University
I am dedicated to building technology for social impact and studying its real-world effects so we can build systems that genuinely help people.
Recently I:
- Finished my Masters' in AI at Stanford after previously completing my undergrad in Computer Science also at Stanford
- Helped in an AI sycophancy paper with PhD Candidate Myra Cheng at the NLP Group, now in preprint Verbalizing LLMs' assumptions to explain and control sycophancy, with an open source tool
- Taught CS 124: From Languages to Information and CS 161: Design and Analysis of Algorithms as a TA
I'm previously interned at Waymo working on agents and The New York Times (with bylines !) as a engineer on Interactive News and AI Initiatives. I've helped publish research in robotics and edtech, and led independent research project on online violence faced by Filipina journalists. I am also a camp counselor for kids with a parent cancer experience (and raised 60k for it). When I was young, I started a nationwide coding school and girls coding organization, both which run independently today.
I'm originally from Manila, Philippines and New York.
You can email me at isabelrs@stanford.edu. I also have a LinkedIn and GitHub.
I learned robust engineering fundamentals. I worked at Waymo on a web visualization team used to analyze ride simulations and planned paths. I built a backend infrastructure and front-end display that lets users explore version history and have a Gemini agent run actions for them.
This is a project for CS329A: Self Improving AI Agents. Generating, evaluating, and providing feedback (and self improving) through AI to dynamically produce Math diagrams fundamental to K-12 education.
I worked on multiple projects including the US Election, EU and UK live election results, Olympics results reporting, an AI visual search tool, and data-analysis to help reporters. The image shows a timeline of what I worked on. I cannot share the timeline or more details due to confidentiality, but happy to chat more.
This is published work I contributed to as an undergrad researcher at Chelsea Finn's IRIS lab where I learn about AI and work on a project on creating a simulation tool for researchers to use to make robot evaluation more accessible. The research has been published to a RSS 2024 Workshop and CoRL 2024.
This is a final research project I did for CS224N: Natural Language Processing with Deep Learning. We created 100k image-text dataset and fine-tuned VLMs, achieving state-of-the-art visio-linguistic compositional reasoning. Our final poster is linked, email me if you want to access our final written report. ControlNet-based fine-tuning pipeline that keeps generated faces faithful to source images while reducing downstream bias. Co-led research, model design, and eval suite.
I developed an interactive article on with scrollytelling and data visualizations. This was part of an independent summer research project funded by Stanford’s Clayman Institute for Gender Research as a Susan Heck scholar, where I conducted NLP, social media, social science research, and interviews culminating in a research presentation and interactive article.
I took on multiple roles in the ongoing AI literacy project, currently called Classroom-Ready Resources About AI For Teaching (CRAFT). I created the entire curriculum for the AI & Math Unit including teaching resources. I developed 2 interactive tools (Datamax and Analyze), and the Resources tab of explorable AI literacy resources using technologies including Typescript, GoogleAPI, and Observable. I also facilitated classroom sessions, and conducted multiple co-design and user testing interviews on our curriculum and CRAFT website. This project was presented at the CHI AI literacy workshop and appeared in 4 papers, one of which I am cited as author.
I’ve been a counselor for Camp Kaleidoscope, a week-long summer camp and year-long community for kids with a parent of cancer. In 2025, I organized a gala that raised $60k towards making camp free for all families. It’s a cause that holds a very special place in my heart.
As an undergrad, I was a section leader for Stanford's introductory CS106A and intermediate CS106B computer science courses. I hosted weekly problem sessions to review content in a small group setting, ran office hours where I debug students homework and review concepts, graded homework and gave interactive feedback, and proctored and graded exams.
In high school, I started a weekly and summer camp coding school; creating curriculum, managing finances, teaching classes, and hiring employees. Today, it is a profitable global (10+ countries) coding and design after-school and summer camp provider connecting 3000+ students with 100+ trained teachers from top universities in the Philippines through 40+ courses to date.
At age 14, I started Girls Will Code, a nationwide organization with a mission to encourage girls to take part in STEM through workshops, speaker events, outreaches, and curated resources. Under my leadership, I organized 30 events, taught 2,000+ student from 44 schools, and created 25 learning resources amassing 3000+ views. I received the Philippine Woman Leader Award, Gender Equality Youth Champion, and work was recognized by a former Vice President of the Philippines
