Assist. Prof. Dr. Yuchae Jung | Generative AI | Distinguished Scientist Award

Assist. Prof. Dr. Yuchae Jung, Open Cyber University of Korea , South Korea.

Dr. Yuchae Jung is an accomplished Affiliated Professor at KAIST School of Computing, Seoul, South Korea. With an interdisciplinary background spanning computer science, medical sciences, and artificial intelligence, she brings a unique integration of biomedical knowledge and computational innovation to her research. Over the years, Dr. Jung has held key academic and research roles in prestigious institutions, including Harvard Medical School and State University of New York. Her professional journey reflects a strong commitment to advancing digital healthcare, AI-driven diagnostics, and computational biology. 🧠💻🧬

Professional Profile

Google Scholar

🎓 Education Background

Dr. Jung earned her Ph.D. and M.S. in Medical Science from The Catholic University of Korea (2008, 2002), following her undergraduate degree in Computer Science from Sookmyung Women’s University in 2000. This solid academic foundation has enabled her to contribute innovatively to both computer science and medical informatics. 🎓📚

🧪 Professional Experience

Dr. Jung is currently affiliated with KAIST’s School of Computing as a professor. She has previously held significant roles at The Catholic University of Korea, Boin IT, Seoul National University, and Sookmyung Women’s University. She has also conducted postdoctoral research at Brigham & Women’s Hospital (Harvard Medical School) and State University of New York. Her professional engagements include lectures, research leadership, and AI-based system development across medical and computing fields. 🏥🖥️📊

🏅 Awards and Honors

Dr. Jung has been the Principal Investigator of several prestigious grants from organizations such as the Ministry of SMEs and Startups, National Library of Korea, Ministry of Science, and Ministry of Education. Her projects span from NLP-based clinical dialogue systems to cancer therapy algorithms and bioinformatics applications in glioblastoma research. She was also honored as a keynote speaker by The Korean Society of Pathologists. 🏆📜🇰🇷

🔬 Research Focus

Her core research interests lie in Medical AI, including deep transfer learning for digital pathology image analysis, clinical Natural Language Processing (Bio-NLP), and cancer genomics (TFs, repeat sequences, miRNAs). She also explores gene expression network analysis in cancer and functional informatics for precision diagnostics. Her work bridges cutting-edge AI with real-world healthcare applications. 🧬🤖📈

✅ Conclusion

Dr. Yuchae Jung is a pioneering figure in interdisciplinary AI and bioinformatics, contributing impactful research to cancer genomics and healthcare AI. With a dynamic academic trajectory and a clear focus on translational science, she continues to be a driving force in computational medicine and smart health systems. Her extensive contributions position her as a deserving candidate for recognition in digital healthcare innovation. 🌐💡👩‍⚕️

📝 Top Publications Highlights

1. Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning
   📅 Published: 2021 in MDPI Sensors
   📊 Cited by: 39 articles (Google Scholar)
   🔍 A groundbreaking study applying deep transfer learning for pathology image classification.

2. Impact of tumor purity on immune gene expression and clustering analyses across multiple cancer types
   📅 Published: 2018 in Cancer Immunology Research
   📊 Cited by: 107 articles
   🔬 Investigates how tumor purity affects gene expression in cancer immunology.

3. Hybrid-Aware Model for Senior Wellness Service in Smart Home
   📅 Published: 2017 in MDPI Sensors
   📊 Cited by: 25 articles
   🏡 Explores smart health monitoring using a hybrid AI model in smart homes.

4. Aneuploidy meets network analysis: leveraging copy number alterations
   📅 Published: 2017 in Translational Cancer Research
   📊 Cited by: 15 articles
   🧬 Integrates systems biology with cancer genomics.

5. Cancer stem cell targeting: Are we there yet?
   📅 Published: 2015 in Archives of Pharmacal Research
   📊 Cited by: 55 articles
   💡 Reviews strategies to target elusive cancer stem cells.

6. Systemic approaches identify Z-ajoene as a GBM stem cell-specific targeting agent
   📅 Published: 2014 in Molecules and Cells
   📊 Cited by: 40+ articles
   🧪 Identifies garlic-derived compound with anti-glioblastoma activity.

7. Numb regulates glioma stem cell fate and growth
   📅 Published: 2012 in Stem Cells
   📊 Cited by: 100+ articles
   📈 A critical study in stem cell regulation in glioma.

8. GEAR: Genomic Enrichment Analysis of Regional DNA Copy Number Changes
   📅 Published: 2008 in Bioinformatics
   📊 Cited by: 80+ articles
   🧬 Proposes a novel method for regional DNA copy number analysis.

9. DNA methylation patterns of ulcer-healing genes in gastric cancers
   📅 Published: 2010 in Journal of Korean Medical Science
   📊 Cited by: 35 articles
   🔬 Connects epigenetics with cancer pathology.

10. PathCluster: a framework for gene set-based hierarchical clustering
    📅 Published: 2008 in Bioinformatics
    📊 Cited by: 90+ articles
    📂 Presents a tool widely adopted in gene expression analysis.