Summary
Hyunjin Kwon is a health data scientist and research assistant with 11 years of experience bridging biomedical engineering and computer engineering to extract actionable insights from clinical and cohort-based datasets. With an MSc in Biomedical Engineering from the University of Calgary, Hyunjin has developed novel model evaluation metrics and applied statistical and machine learning methods to identify prognostic factors and validate clinical data for publication. Technically proficient in Python, R, and SQL, they translate complex analyses into stakeholder-ready findings while collaborating with clinicians, researchers, and startups. Known for tackling practical evaluation challenges—such as case-difficulty-aware model assessment—Hyunjin combines rigorous academic research with hands-on implementation and a habit of rapidly learning new tools to address evolving healthcare problems.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering, Computer Engineering, 4.04/4.5, Bachelor of Engineering, Computer Engineering, 4.04/4.5 at Gachon University
Master of Science, Biomedical Engineering, 3.9/4.0, Master of Science, Biomedical Engineering, 3.9/4.0 at University of Calgary
English, Korean