Eric Zhang

About

I'm a Computer Science student at Washington University in St. Louis, minoring in Entrepreneurship, expected to graduate in May 2030. My research centers on software testing and static analysis — I've spent several years at UT Dallas's Software Testing and Analysis Lab studying fuzzing internals and mining static analysis repositories for insights on developer practices. Outside of research, I build applied ML projects, from AutoML tooling to hardware-ML systems for diagnosing disease in microgravity.

Education

Washington University in St. Louis

Expected May 2030

B.S. Computer Science · Minor in Entrepreneurship

St. Mark's School of Texas

Graduated May 2026

High School Diploma, Cum Laude

GPA 4.44/4.0 (weighted) ACT 36/36 PSAT 1520/1520 National Merit Scholar

Research & Work Experience

High School Research Intern

June 2022 – Present

UT Dallas, Software Testing and Analysis Lab

Conduct research on fuzzing and static analysis tools with Prof. Shiyi Wei and graduate students; full-time (9AM–3PM, M–F) during summers.

Projects & Publications

Research manuscripts, published work, and hands-on builds spanning software testing, ML, and full-stack development.

Manuscript in prep

Mining Static Analysis Repositories to Inform Development Practices

Applying topic modeling and ML across 11 static analysis repositories to surface development-practice insights.

1st author · UT Dallas & U Paderborn collaboration

Manuscript in prep

Evaluating Fuzzing Internal Mechanisms via Internal State Variables

Analyzed internal state variables across four fuzzers to evaluate effectiveness; found internal mechanisms often diverge from expected behavior.

4th author · UT Dallas collaboration

Published, NHSJS

Smart Model Elimination Machine Learning (SMEML)

An AutoML method that prunes unlikely-best models by data features instead of brute-force evaluation, improving efficiency over exhaustive search.

1st author

NASA HUNCH Finalist

MTF: Diagnosing Disease in Space

An ML/hardware system to diagnose disease under microgravity conditions.

National Finalist

1st Place, United Hacks

Styled

A full-stack platform for clothing-size detection and personalized recommendations.

Hackathon winner

Achievements & Awards

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NASA HUNCH National Finalist

April 2024

National Finalist, NASA HUNCH Science Fair, for "MTF: Diagnosing Disease in Space" — among 4,167 students from 571 schools nationwide.

★

UTD SPUR Computer Science Poster Award

July 2024

Awarded at UT Dallas's Summer Platform of Undergraduate Research for "Examining Power Schedules, Search Strategies, and Mutators in Fuzz Testing" (200+ participants annually).

★

United Hacks Hackathon — 1st Place

August 2023

Awarded first place for the project "Styled."