Mr. Yeonjae Park, The Graduate School of Yonsei University, South Korea
Yeonjae Park is a Master’s student at Yonsei University in the Department of Medical Informatics and Biostatistics, under the guidance of Professor Dae Ryong Kang. With a strong foundation in Computer and Telecommunication Engineering as well as Information and Statistics, Park obtained dual B.S. degrees from Yonsei University, where they were mentored by Professors Cho Young-rae and Na Seongyong. Their research interests span machine learning, deep learning, generative models, multi-modal data analysis, and time series forecasting. Park has gained valuable research experience through various positions, including as a researcher intern at the Artificial Intelligence-Information Retrieval Lab, a researcher at the Applied Data Science Lab, and their current role at the National Health BigData Clinical Research Institute. Their projects encompass a range of topics, from text extraction and OCR recognition to complex analyses in genomics, disease correlations, and the effectiveness of medical treatments.
Professional Profile:
Summary of Suitability for Best Scholar Award:
Yeonjae Park has a strong academic foundation, holding dual Bachelor’s degrees in Computer and Telecommunication Engineering and Information and Statistics from Yonsei University, one of South Korea’s most prestigious institutions. Currently, Yeonjae is pursuing a Master’s degree in Medical Informatics and Biostatistics at the same university, under the guidance of a notable advisor, Dae Ryong Kang.
Education 📚
- Samseon Middle School, Seoul, Korea (Mar. 2010 ~ Jul. 2010)
- SungSan Middle School, Seoul, Korea (Jul. 2010 ~ Feb. 2013)
- Kwangsung High School, Seoul, Korea (Mar. 2013 ~ Feb. 2016)
- Yonsei University, Department of Computer and Telecommunication Engineering 🖥️ (Mar. 2016 ~ Aug. 2021)
- B.S. in Computer and Telecommunication Engineering
- Advisor: Prof. Cho Young-rae
- Yonsei University, Department of Information and Statistics 📊 (Feb. 2016 ~ Aug. 2021)
- B.S. in Information and Statistics
- Advisor: Prof. Na Seongyong
- Yonsei University, Department of Medical Informatics and Biostatistics 🧬 (Aug. 2021 ~ Present)
- Master Student
- Advisor: Prof. Dae Ryong Kang
Research Interests 🔍
- Machine Learning / Deep Learning 🤖
- Generative Models 🌀
- Multi Modal 🧠
- Time Series Forecasting ⏳
Research Experiences 💼
- Researcher Intern at Artificial Intelligence-Information Retrieval Lab, Yonsei University, Korea (May. 2019 ~ Apr. 2020)
- Researcher at Applied Data Science Lab, Yonsei University, Korea (May. 2020 ~ Jan. 2021)
- Researcher at National Health BigData Clinical Research Institute, Korea (Jan. 2021 ~ Present)
Publication top Notes:
Development and Validation of a Real-Time Service Model for Noise Removal and Arrhythmia Classification Using Electrocardiogram Signals
Intracardiac Echocardiogram: Feasibility, Efficacy, and Safety for Guidance of Transcatheter Multiple Atrial Septal Defects Closure