studying math, computer science, data science, and public policy @ Stanford

Focused on leveraging technology and data to solve meaningful, large-scale problems. Passionate about building systems that are both technically robust and socially impactful. Things I am super interested in, love thinking about, and would love to keep working on include:

Designing and deploying technology that puts people first
Bringing modern technology into government to improve public services
Engineering data-driven solutions that unlock real-world impact
Making AI systems safer, more transparent, and ensuring they benefit society

Presently

Data Engineering and Machine Learning @ Recidiviz
President @ CS + Social Good
CS + PoliSci Research @ Stanford Political Science Dept
Analyst @ Stanford AI Alignment

Formerly

International Team Intern @ U.S. AI Safety Institute
AI Fellow @ Consumer Reports
Executive Officer @ TreeHacks
Data @ Deliberative Democracy Lab
NLP Research @ Supervised Program for Alignment Research
Project Analyst @ Cardinal Policy Group
Data Analyst and Logistics @ Five Keys Schools and Programs

Experience

Currently

Working as a Data Engineer Intern at Recidiviz, a non-profit building open-source infrastructure to reform the criminal justice system. Building scalable systems and data pipelines while exploring machine learning and language model techniques to automate information extraction, improve data quality, and generate deeper insights from complex, high-volume datasets.

President of CS + Social Good at Stanford, working to show students how they can leverage technology to create the impact they care about. Building a community that empowers people to apply their technical skills to real-world social challenges and public-interest work.

Collaborating with Stanford's Political Science Department and Professor Rob Reich on research initiatives at the intersection of technology, policy, and governance. Supporting the development of new academic programs and course offerings that explore how technology shapes our society and institutions.

Analyst at Stanford AI Alignment, analyzing emerging AI systems and methods to improve their reliability and safety. Work includes model behavior on alignment-relevant benchmarks, structured evaluation protocols, and synthesizing findings to inform approaches for mitigating risks in advanced AI systems.

Previously

Executive Leadership organizing for TreeHacks, the largest collegiate hackathon in the world. Implemented data-driven marketing strategies, achieving a 55% increase in applications for a record-breaking 12,000+ applicants from 300+ universities. Coordinated logistics while helping lead team of 25 organizers, planning and carrying out event with 1500+ hackers, sponsors, and judges.

Served as an international team intern at the US AI Safety Institute (NIST), helping design technical objectives to evaluate frontier AI systems while coordinating with international counterparts. Developed standardized evaluation frameworks and analyzed technical assessments of emerging AI capabilities, translating results into actionable policy recommendations for senior leadership.

Served as an AI Fellow at Consumer Reports, optimizing AskCR's AI systems by refining Retrieval-Augmented Generation pipelines and implementing observability features for real-time monitoring and transparency. Conducted policy research on responsible AI deployment, developing a comprehensive state-level AI policy tracker and analyzing emerging regulatory approaches to AI technologies.

Worked as a Data Research Assistant at the Deliberative Democracy Lab, engineering data workflows and utilizing machine learning methods to analyze democratic processes and public sentiment.

Conducted policy and data research for the City of East Palo Alto with Cardinal Policy Group, developing evidence-based recommendations on reparations and economic development through data analytics and stakeholder engagement.

NLP Researcher at the Supervised Program for Alignment Research (SPAR), analyzing public discourse influences on U.S. AI policy in collaboration with RAND Corporation.

Data Intern at Five Keys Schools and Programs, establishing data systems to improve educational equity in underserved communities.

Projects & Papers

CS Research

Machine Learning Clinical Trial Outcome Prediction

Developed a novel student-teacher framework addressing spurious correlations in pharmaceutical data, using dynamic UnLearning from Experience and LLM data augmentation.

Poster Paper

Math Research

Hausdorff and Gromov-Hausdorff Metrics

Explored metric geometry, proved completeness of the space of compact subsets with the Hausdorff distance and analyzed compactness and isometry conditions under the Gromov-Hausdorff distance.

Paper

CS Project

Hack The North: PathSense

Developed an AI-powered indoor navigation system that guides visually impaired users through voice commands using computer vision and real-time scene description technology. Won first place at Hack the North 2024.

Devpost Video of Winning!

CS Research

Artificial Intelligence for Real-time Gesture-based Tonal Rendering

Developed a gesture-controlled vision pipeline integrating CNN-based finger-count models with temporal motion heuristics for real-time guitar strum detection.

Watch Video

TreeHacks

TreeHacks 2024 Opening Video

Created and starred in the opening ceremony video that welcomed 1500+ participants to Stanford's premier hackathon.

Watch Video

Math Research

Hermite Polynomials

Researched Hermite polynomials, deriving properties from differential equations and exploring applications in quantum mechanics.

Paper

AI Policy

State AI Legislation Tracker

Led development of a comprehensive tracker analyzing state-level AI bills, identifying regulatory patterns for policymakers working on AI governance. Tracker has been referenced and utilized in several state congress hearings since.

Tracker Blog Post

Math Research

Cryptography: Secret Sharing Schemes

Analyzed mathematical principles of threshold schemes that securely distribute sensitive information among multiple parties, comparing Shamir's polynomial approach with Blakley's geometric method.

Paper

CS Research

Trust & Safety in Generative AI

Designed observability features for AskCR that reveal AI processes to users, increasing transparency in generative AI systems.

AskCR Blog Post

TreeHacks

TreeHacks 2025 Opening Video

Directed, filmed, and edited the opening ceremony video for Stanford's hackathon, introducing the event vision to 1500+ participants.

Watch Video

CS Project

Environmental Health Dashboard

Developed a data visualization + ML platform for mapping environmental sensor data, helping policymakers understand health factors in the Philippines.

Presentation

Math Research

Series Rearrangment Theory

Investigated infinite series rearrangements, proving when term reordering preserves convergence and when it can yield any desired limit.

Paper

CS Research

Unveiling News Biases

Applied machine learning to analyze news transcripts, revealing distinct political reporting patterns across major networks through TF-IDF vectorization and clustering algorithms.

Poster

CS Research

Partisan Sentiment Online

Used machine learning to analyze political sentiment on Reddit, revealing distinct topic correlations between Democratic and Republican online discussions through BERT-based classification.

Paper