Experience

ML Engineer VUNO Mar 2022 – Present

Diagnostic AI products for chest X-ray, lung CT, and digital pathology

Research Assistant Korea University Jun 2019 – Feb 2022

Deep learning research on medical image processing; organized an international challenge

Education

M.S., Computer Science
Korea University
2020 – 2022
B.S., Computer Science and Engineering
Ulsan National Institute of Science and Technology
2015 – 2020

Awards

2022
1st Place · International Pathology Image Challenge Radboud University
TIGER Challenge
2021
1st Place · Korea University Startup Competition Seoul Metropolitan Government, Seongbuk-gu, SH Corporation, Korea University
11th Korea University Anam Campus Town Startup Competition
2020
1st Place · Dental Image Challenge HealthHub, Seoul National University Dental Hospital
Healthhub Datathon, Track B: Panoramic Dental X-ray
2025
Tumor-infiltrating lymphocytes in breast cancer through artificial intelligence: biomarker analysis from the results of the TIGER challenge Consortium
Nature Communications
2024
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture 2nd author
arXiv
2023
PAIP 2020: Microsatellite instability prediction in colorectal cancer Co-first author
Medical Image Analysis Journal
2021
Deepscribble: interactive pathology image segmentation using deep neural networks with scribbles First author
IEEE ISBI Conference
Development and operation of a digital platform for sharing pathology image data 7th author
BMC Medical Informatics Journal

Languages

English OPIc AL