HELLO!
Welcome to my personal website! I am a passionate individual dedicated to advancing knowledge in Artificial Intelligence.
Join me on this journey of discovery!
Education
Ph.d in Computer Science, Friedrich Alexander University (Germany)
Project GridAssist: AI-based techniques for automated congestion control and fault mangement in power grids, while also buidling a robust knowledge database that integrates and harmonizes heterogeneous power grid data from multiple sources.
Mar 2025 – Present
M.S in Artificial Intelligence, Friedrich Alexander University (Germany)
Thesis: RetNetHTR: Leveraging Retentive Networks for Efficient and Accurate Handwritten Text Recognition
Research Assistant : Medical Imaging, Artificial Intelligence Medical Imaging Lab
Teaching Assistant : Advanced Deep Learning
, Introduction to Machine Learning
Oct 2022 – Feb 2025
B.S in Computer Science, University of Seoul (South Korea)
2 years of absence of obligatory military service
Undergraduate Research Assistant
: Molecular Toxicity Prediction
Mar 2014 – Feb 2021
Experiecne
Research Assistant @ Artificial Intelligence Medical Imaging Lab
Friedrich Alexander University, Germany
Projects: Denoise fluorescence microscopy image using self-supervised learning
Mar 2024 - Feb 2025
Tutor @Pattern Recognition Lab
Friedrich Alexander University, Germany
Advanced Deep Learning, Introduction to Machine Learning
• Mentor master and bachelor students for programming exercises
Sep 2023 - Feb 2025
Researcher @Urban Big Data and AI Institute
Chemical Big Data AI Research Center, University of Seoul, South Korea
Projects: Graph Neural Networks for Molecular Toxicity Prediction
AI Educational Content Technical Quality Assurance
Jan 2021 – Sep 2022
AI Educational Content Technical Quality Assurance
MODULABS, South Korea
• Create educational contents of artificial intelligence for non-expert
May 2021 – Oct 2021
Researcher Intern @Environmental System Toxicology Lab
University of Seoul, South Korea
Projects : Machine learning for Imbalanced Toxicity data Prediction
Sep 2018 – Dec 2019
Publications
[1] Kim, C. Jeong, J, Choi, J. (2022). Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
[2] Jeong, J., Reyero, N., Burgoon, L., Perkins, E., Park, T., Kim, C., Roh, J, & Choi, J. (2019). Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach
Skills
Programming Languages : Python, R, SQL Java, C, C#, Bash, JavaScript
Tools : Deep Learning Framework(TensorFlow, PyTorch, Deepchem), Libraries(Dlib, OpenCV), Framework(Scikit-Learn, PyCaret), Development / Database(Django, Flask, Node.js, PyQT, MongoDB, MariaDB, MySQL, FireBase)
About Me
Curiosity
My natural curiosity inspires me to delve into new ideas and tackle complex challenges. I thrive on asking insightful questions and seeking a deeper understanding, which drives my research pursuits
Perseverance
I recognize that the research journey is often filled with obstacles. Embracing these challenges, I view setbacks as opportunities for growth, always striving to move forward and achieve my goals.
Critical Thinking
I place great importance on critical thinking when analyzing data and evaluating arguments. This skill allows me to approach problems with a thoughtful mindset and develop innovative solutions.
Self-Motivation
I am deeply self-motivated and take the initiative in my work. By setting clear objectives and pursuing them with determination, I aim to make meaningful contributions to my field