Isabel Sieh

Stanford University

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I am dedicated to building technology for social impact and studying its real-world effects so we can build systems that genuinely help people.

Currently I am:
- Finishing my Masters' in AI at Stanford having previously completed my undergrad in Computer Science also at Stanford
- Evaluating user outcomes from LLM conversations and building guardrails to steer LLMs to prioritize user wellbeing with PhD Candidate Myra Cheng at the NLP Group
- Teaching 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, GitHub, and resume.

Portfolio

Waymo - Summer 2025

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.

Generating High Quality Math Visual Aids via Agentic Workflows - 2025 Course Research

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.

The New York Times @ Interactive News & AI Initiatives - Summer 2024

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.

Read my bylines →

NYT Internship Timeline

Evaluating Real-World Robot Manipulation Policies in Simulation - 2024 Research

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.

Read paper →

SIMPLER

NatuRel: Advancing Relational Understanding in Vision-Language Models with Natural Language Variations - 2024 Course Research

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.

View poster →

NatuRel

#Presstitute: Online Violence Faced By Filipina Journalists and Fighting Back with Data - Summer 2023

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.

Read article →

#Presstitute Interactive

AI Literacy Project - 2022-2023

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.

Read article →

AI Literacy

Mentorship

Camp Kaleidoscope - 2023-2025

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.

Camp Kaleidoscope

Section Leading - 2021-2023

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.

Section Leading

The Coding School - 2017-2021

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.

The Coding School

Girls Will Code - 2017-2021

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

Girls Will Code