Training and Mentoring
Education
Education at NEXGEM spans project-based mentoring, formal coursework, internship programs, and academic exchange. This page highlights how the lab supports students as they learn to connect AI, pathology, and translational cancer research in practice.
Programs
Student research and mentoring programs
Representative education programs that combine independent exploration, applied research training, and collaborative mentorship.
2026 Program
URP: pathoCellSAE
An undergraduate research experience focused on learning how pathology-informed representation learning can support cancer-related data interpretation.
2026 Program
Co-deep Learning: Sarcoma
A collaborative student project that introduces learners to clinically motivated AI questions through sarcoma-focused data interpretation and model thinking.
Independent Study
S.E.L.F. Research Track
Self-directed research experience in the Department of Artificial Intelligence highlighted how students can shape their own questions while receiving structured scientific mentorship.
Seasonal Program
2026 Winter internship program
A winter training program designed to immerse students in the lab's research workflow, computational environment, and interdisciplinary culture.
Recognition
Student outcomes and awards
Education is not only about participation but also about helping students grow into presenters, contributors, and confident early researchers.
Academic festival
Sung-Ui Academic Festival Grand Prize
Awarded to Dowon Im
This recognition reflects the lab's emphasis on helping trainees turn research learning into clear, competitive academic presentation outcomes.
Academic festival
Sung-Ui Academic Festival Best Award in Basic Science
Awarded to Cherin Yoon
This recognition showcases how trainees can grow through focused mentoring, scientific curiosity, and stepwise development of early-stage research ideas.
Fellowship
National Research Foundation Ph.D. Fellowship
Awarded to Youngmin Chung
This fellowship recognizes doctoral research promise and supports sustained training at the intersection of AI, bioinformatics, and cancer biology.
Paper award
BIOINFO Best Paper Award
Awarded to Youngmin Chung
Awarded by the Korean Society for Bioinformatics, this prize highlights visible research quality and contribution within the bioinformatics community.
Scholarship
Kwanjeong Educational Foundation Graduate Scholarship
Awarded to Youngmin Chung
This scholarship recognized academic promise early in graduate training and helped support continued development in computational biomedical research.
Teaching
Courses and classroom engagement
Formal teaching activities connect the lab's research themes with broader educational audiences across biomedical and early-stage university learning.
Course
MED7005 AI and Data Science for Biomedical Research
A course designed to introduce how AI and data science can be applied to biomedical research questions, with emphasis on translational reasoning and practical interpretation.
Seminar
Freshman Seminar
An introductory seminar experience that helps early-stage students connect research curiosity with real scientific problems, interdisciplinary thinking, and lab-based career pathways.
Academic Visits
Exposure beyond the lab
Visits to leading institutions help students and trainees understand how their work fits into wider research ecosystems and international collaboration.
Visit
Harvard research visit
The Harvard visit offered a chance to engage with a leading research environment and to place the lab's education and research activities within a broader global context.
Visit
University of Michigan visit
The Michigan visit emphasized collaborative thinking and showed how education, research training, and institutional partnership can reinforce one another.
Growing archive
The education archive will continue to expand
This page is set up to grow with additional student projects, course snapshots, program photos, and mentoring outcomes as the lab's educational activities continue.