Topics
The AI Health Data Lab (AHDL) focused on AI-driven Clinical Decision Support Systems (CDSS), AI-based Electronic Medical Records (EMR), and predictive modeling, utilizing healthcare data, including both public health and clinical datasets.
Goals
We operates as a “GLOCAL” research lab, integrating both Global Health and Community Health perspectives. The ultimate goal of our lab is to contribute to low-income countries through AI-based predictive research using healthcare data.
Culture
AHDL emphasizes a strong academic and research-oriented culture, centered on publications and research excellence. The supervision structure follows a hierarchical mentoring system consisting of faculty, graduate students, and undergraduate researchers.
Undergraduate Researcher
We recruit twice a year (in March and September), selecting two candidates annually. Applicants must have completed coursework in machine learning and deep learning, and are expected to have an understanding of healthcare data.
M.S or Ph.D
We are preparing the graduate program curriculum and planning to launch admissions for March 2027.
Expected Qualifications
We are seeking highly self-motivated individuals with a strong interest and deep passion for research. All applicants must possess a basic academic background, specifically demonstrating a clear understanding of introductory or advanced coursework in Machine Learning.
Preferred Qualifications
Candidates with prior programming skills or experience in AI-based healthcare research are highly preferred. Additionally, we welcome applicants who possess field experience working in low-income region.
We are actively looking for students.
If interested, email to Hocheol Lee.
E-mail: lhc0104@yonsei.ac.kr
If you are willing to meet in person, feel free to e-mail us and visit! Our lab is located at:
Unit 410, Baekun Hall, 1 Yonseidae-gil, Yonsei University, Wonju City, South Korea