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Education

| 2024.3 ~ present | School of Medicine, Cha University M.D. expected Feb. 2028 | | --- | --- | | 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 ~ present | 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

Publications

( indicates equal contribution)*

  1. 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
  2. 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)
  3. 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
  4. 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
  5. 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)