Education

• (2021.03 ~) Integrated PhD Program, Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea

• (2015.03 ~ 2021.02) B.S. Industrial Management Engineering, Korea University, Seoul, Korea

• (2015.03 ~ 2021.02) B.S. Mathematics, Korea University, Seoul, Korea

Research Experiences

• (2020.07 ~ 2021.02) Intern Researcher, Division of Clinical Bioinformatics, Seoul National University Hospital, Seoul, Korea

• (2018.06 ~ 2020.04) Intern Researcher, Mathematical Optimization & Operation Research Lab, Korea University, Seoul, Korea

Scholarships and Awards 

• (2021.09) 율촌재단 AI for All Fellowship

Publications

1. Soonil Kwon, SooMin Chung, So-Ryoung Lee, Kwangsoo Kim, Junmo Kim, Dahyeon Baek, Hyun-Lim Yang, Eue-Keun Choi, and Seil Oh, Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study. DIGITAL HEALTH, 2025. 11: p. 20552076241311460.

2. Junmo Kim, Su Hyun Park, Hyesu Lee, Su Kyoung Lee, Jihye Kim, Suhyun Kim, Yong Jin Kwon, and Kwangsoo Kim, Identifying potential medical aid beneficiaries using machine learning: A Korean Nationwide cohort study. International Journal of Medical Informatics, 2025. 195: p. 105775.

3. Junmo Kim, Min Hyuk Lim, Kwangsoo Kim, and Hyung-Jin Yoon, Continual learning framework for a multicenter study with an application to electrocardiogram. BMC Medical Informatics and Decision Making, 2024. 24(1): p. 67.

4. Junmo Kim, Hyun-Lim Yang, Su Hwan Kim, Siun Kim, Jisoo Lee, Jiwon Ryu, Kwangsoo Kim, Zio Kim, Gun Ahn, Doyun Kwon, and Hyung-Jin Yoon, Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study. eClinicalMedicine, 2024. 68.

5. Junmo Kim, Joo Seong Kim, Sae-Hoon Kim, Sooyoung Yoo, Jun Kyu Lee, and Kwangsoo Kim, Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records. npj Digital Medicine, 2024. 7(1): p. 224.

6. Junmo Kim, Chaeyoung Yang, Hyung Joon Joo, Rae Woong Park, Ga Eun Kim, Daeho Kim, Joonho Choi, Jun Ho Lee, Eunkyung Kim, Seon-Cheol Park, Kwangsoo Kim, and Il Bin Kim, Risks of complicated acute appendicitis in patients with psychiatric disorders. BMC Psychiatry, 2022. 22(1): p. 763.

7. Junmo Kim, Eun-Jin Ha, Hee-Soo Kim, Eun-Young Park, Hyung-Chul Lee, Yoon-Hee Choo, Youngbo Shim, Kwangsoo Kim, Keewon Kim, and Seung-Bo Lee, Real-Time Evaluation of Cerebral Autoregulation Based on Near-Infrared Spectroscopy to Predict Clinical Outcome after Bypass Surgery in Moyamoya Disease. BioMed Research International, 2022. 2022: p. 3091660.

8. Seok Kim, Ji-In Bang, Dachung Boo, Borham Kim, In Young Choi, SooJeong Ko, Ie Ryung Yoo, Kwangsoo Kim, Junmo Kim, YoungHwan Joo, Hyun Gee Ryoo, Jin Chul Paeng, Jung Mi Park, Woncheol Jang, Byungwon Kim, Yangha Chung, Dongyoon Yang, Sooyoung Yoo, and Ho-Young Lee, Second primary malignancy risk in thyroid cancer and matched patients with and without radioiodine therapy analysis from the observational health data sciences and informatics. European Journal of Nuclear Medicine and Molecular Imaging, 2022. 49(10): p. 3547-3556.

9. Sooyoung Yoo, Eunsil Yoon, Dachung Boo, Borham Kim, Seok Kim, Jin Chul Paeng, Ie Ryung Yoo, In Young Choi, Kwangsoo Kim, Hyun Gee Ryoo, Sun Jung Lee, Eunhye Song, Young-Hwan Joo, Junmo Kim, and Ho-Young Lee, Transforming Thyroid Cancer Diagnosis and Staging Information from Unstructured Reports to the Observational Medical Outcome Partnership Common Data Model. Appl Clin Inform, 2022. 13(03): p. 521-531.