Email: [email protected]
Homepage | Google Scholar
Education
| 2024.3 ~ present | School of Medicine, Cha University
M.D. expected Feb. 2029 |
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| 2020.9 ~ 2022.8 | M.S. in Graduate School of AI, KAIST
Advisor: Prof. Edward Choi |
| 2013.3 ~ 2020.8 | B.A. in Economics, Seoul National University
GPA: 4.1 / 4.3 (Summa cum laude)
2-year absence to fulfill military duty |
| 2011.3 ~ 2013.2 | Sejong Science High School
(Early Graduation) |
Work Experience
| 2024.4 ~ 2025.5 | AI Research Engineer, SAMSIN
Developing predictive models for ovarian reserve estimation using diverse medical data, including AMH levels and age.
Work has culminated in a patent (KR102722189B1). |
| --- | --- |
| 2024.7 ~ 2024.10 | AI Research Engineer, TALOS
Developing an AI algorithm for assessing brain aneurysm risk using only standard health checkup results |
| 2022.7 ~ 2022.9 | Research Intern, School of Dentistry at Seoul National University
Served as co-first author in publishing Structure-preserving quality improvement of cone beam CT images using contrastive learning, Computers in Biology and Medicine, 2023 |
| 2020.9 ~ 2022.8 | Teaching Assistant, Graduate School of AI, KAIST
Programming for AI (Fall 2020, Fall 2021), Machine Learning for Healthcare (Spring 2021, Spring 2022) |
| 2021.8 | Teaching Assistant, Korean Society of Artificial Intelligence in Medicine (KOSAIM) 2021 Summer School |
| 2020.6 ~ 2020.8 | Research Intern, Artificial Intelligence Institute at Seoul National University (AIIS) |
| 2014.3 ~ 2015.12 | Military Service |
Research Interest
- Artificial Intelligence in Medicine
Publications
( indicates equal contribution)*
- Ji Yong Han, Woncheol Shin, et al., Virtual Tooth Reconstruction for Digital Implant Planning Using Transformer Networks, Proc. of Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2026 (to appear)
- Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi, 2023, Deep Imbalanced Time-series Forecasting via Local Discrepancy Density, Proc. of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2023
- Woncheol Shin, Gyubok Lee, Jiyoung Lee, Eunyi Lyou, Joonseok Lee, Edward Choi, 2023, Exploration into Translation-Equivariant Image Quantization, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023 (Oral Presentation, Top 3% Paper Recognition)
- Se-Ryong Kang*, Woncheol Shin*, Su Yang, Jo-Eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Won-Jin Yi, 2023, Structure-preserving quality improvement of cone beam CT images using contrastive learning, Computers in Biology and Medicine
- Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, Edward Choi, 2022, EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records, Proc. of Neural Information Processing Systems (NeurIPS) 2022 Datasets and Benchmarks
- Jong Hak Moon*, Hyungyung Lee*, Woncheol Shin, Young-Hak Kim, Edward Choi, 2022, Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training, Journal of Biomedical and Health Informatics (JBHI)
- Minah Kim, Woncheol Shin, Tak Hyung Lee, Taekwan Kim, Wu Jeong Hwang, Jun Soo Kwon, 2021, Eye movement as a biomarker of impaired organizational strategies during visual memory encoding in obsessive–compulsive disorder, Scientific Reports