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Jason Yi

Jason Yi

Socially minded engineer looking to use tech to solve tedious processes

Washington, D.C. Area
georgetown
Joined June 2026
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Summary

Jason Yi is a passionate civic-tech engineer dedicated to modernizing government processes and leveraging technology for social good. His work at Holly involves refining AI for government hiring and developing systems for collaborative prompt editing. He also has experience researching technology implementation for public benefits programs at the Beeck Center for Social Impact + Innovation and Georgetown’s Ethics Lab. vercel+3
Jason demonstrates strong skills in AI and data science, applying them to real-world problems. His experience includes developing AI solutions to automate accounting processes at EY, researching privacy-preserving data collection (SCIF), and exploring AI-generated images and their identifiability at the Massive Data Institute. vercel+2
As a leader at Hoyalytics, Jason has extensive experience in managing training programs and curriculum for hundreds of students in data science and analytics. He also served as Technical Project Manager at Hoya Developers, showcasing his ability to lead and organize technical initiatives within a university setting. vercel
Jason is a prolific full-stack developer with a passion for building practical applications. His personal projects like PorePal, TinyGen, Splitify, Dynamic-Dialo, and Infrared Image Translation demonstrate proficiency across various technologies. He actively participates in hackathons, consistently developing impactful solutions, including winning two prizes at the Healthcare Hackathon with AI (H2AI) and Best DEI Hack at HoyaHacks '24. vercel+3
As a Computer Science student at Georgetown University with a 3.9 GPA, Jason is recognized for his academic excellence. His research interests span privacy-preserving technologies, AI ethics, and the application of AI in public benefits, often collaborating across disciplines such as the Ethics Lab and the Beeck Center for Social Impact + Innovation. georgetown+2

Work

Education

Projects

Writing

SCIF: Privacy-Preserving Statistics Collection with Input Validation and Full Security

January 1, 2025

Research paper developing a data collection protocol to collect statistics from multiple sources while preserving the privacy of each source. Presented at The Privacy Enhancing Technologies Symposium 2025.

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Risk Assessment of Generating Digital Replicas from Text-to-Image Diffusion Models

January 1, 2024

Poster presented at the Massive Data Institute Research Showcase Fall 2024, exploring how powerful text-to-image diffusion models are at recreating identities with text prompting.

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Exploring Rules Communication: Moving Beyond Static Documents to Standardized Code for U.S. Public Benefits Programs

January 1, 2023

Published by the Beeck Center for Social Impact and Innovation in 2023, exploring how to translate legal rules into code for public benefits programs.

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What the Digital Benefits Network is Reading on Automation

January 1, 2023

A review of articles in the field of automation and its impact on public benefits, published by the Beeck Center for Social Impact and Innovation in 2023.

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Hobbies

Enjoys playing golf, picked up during quarantine. tjtoday+2