About | Chaeri Jung

Hello, I’m Chaeri Jung

I am a senior at Sookmyung Women’s University, majoring in Artificial Intelligence and Big Data. I am also gaining hands-on experience as an undergraduate research intern at SNSec Lab, where I explore the intersection of machine learning and cybersecurity.

Currently, I study how AI can be applied to cybersecurity. My current focus is on building anomaly detection systems using Deep Learning and Self-Supervised Learning, aiming to make data-driven security more practical and reliable.

Education

B.S. Division of Artificial Intelligence Engineering (minoring in Big Data)

Sookmyung Women's University

2023.03 – Current · GPA: 4.48 / 4.5 · Advisor: Prof. Seonghoon Jeong

Research Interests

My core research focuses on Data-driven Security. I am particularly interested in leveraging advanced machine learning techniques to solve real-world security challenges:

Core Tech

Deep Learning Self-Supervised Learning

Security Focus

Anomaly Detection Intrusion Detection

Future Interests

Adversarial Machine Learning Concept Drift Adaptation Federated Learning

Tech Stack & Tools

I use a variety of tools for research and development, focusing on efficient data processing and model implementation:

Main Stacks

Linux Python PyTorch Pandas Scikit-learn Git

Certifications

ADsP (Advanced Data Analytics Semi-Professional)

한국데이터산업진흥원

2025.06

SQLD (SQL Developer)

한국데이터산업진흥원

2025.04

Vision & Goal

Beyond building high-performance models, I constantly ask: “How reliable and explainable is this model in a real-world security operation?” My goal is to become a security intelligence engineer who builds trustworthy, data-driven defense systems that can withstand evolving digital threats.

Let’s Connect!

I’m always open to discussing research, collaboration, or potential opportunities. Feel free to reach out!

Email [email protected]

GitHub github.com/jchaerry

ORCID

0009-0006-0247-5167