AI Engineer & Data Scientist
Wonjune Lee
Building meaningful systems
with data and AI
I study Computational & Data Sciences at
George Mason University.
I currently conduct research at the Ulsan National Institute of Science and Technology (UNIST)
Artificial Intelligence Graduate School.
Education
- George Mason University B.S. Computational & Data Sciences Aug 2023 — May 2026
- Ghent University Bioscience Engineering Feb 2019 — Aug 2021
Experience
- Ulsan National Institute of Science and Technology (UNIST) Undergraduate Researcher - Artificial Intelligence Graduate School Jul 2025 — Current
Skills
Python
ML / DL
R
SQL
3.93/4.0
GPA
1
Paper
9
Projects
Resume
Resume Preview
Selected Work
Projects Overview
Water Pipeline Leakage Classification
Comparative study of ML and Graph Transformer methods achieving 96.4% accuracy on real-world sensor data for water pipeline leak detection.
Swift Grader
LLM-powered essay grading system built at HackFax 2026, reducing manual grading time by ~80% with rubric-based evaluation.
Premier League SQL Analytics
Normalized SQL database and advanced analytics on 2023–24 EPL statistics, identifying key performance indicators correlated with league rankings (r ≈ 0.6).
Crime Rates in Washington, D.C.
Visualized 8-year crime trends across multiple offense categories and analyzed relationships with student population and housing prices.
Anime Recommendation System
Scalable recommendation engine using collaborative filtering and SVD matrix factorization on a large sparse MyAnimeList dataset (RMSE ≈ 1.16).
ESG Score Prediction
End-to-end ESG grade classification pipeline with web scraping, feature engineering, and Random Forest achieving >85% accuracy.
Heart Attack Risk Prediction
Logistic regression and hypothesis testing to predict heart attack risk, exploring lifestyle variable associations through EDA and permutation tests.
Movie Industry Analysis
Explored 40+ years of movie data with EDA, correlation analysis, and multiple linear regression to identify key predictors of box-office success.
N-Body Simulation of the Triangulum Galaxy
2D N-body simulation comparing rotation curves with and without dark-matter halos, demonstrating the necessity of unseen mass.
Research
Publications & Talks
2025
Conference Paper
A Comparative Study of Machine Learning and Deep Learning Methods for Water Pipeline Leakage Classification
Korea Software Congress · Yeosu, Korea · December 2025
Get in Touch
Contact & Links
Feel free to reach out anytime
for new opportunities or collaboration.
I am open to research roles, internships,
full-time positions, and side projects.
Email
GitHub
LinkedIn
Languages
Korean (Native) · English (Fluent)
Location
Fairfax, Virginia, USA