Summary
Sunyoung Yoo is a Scientific Software Developer with a decade of experience applying machine learning and data science to real-world research and industrial problems, currently contributing to scientific software at the European Spallation Source. Trained as a physicist (BS/MS) in Seoul, she has built and productionized CNN and classification pipelines for medical imaging and video analysis—projects include real-time polyp detection on constrained hardware and pupil extraction from clinical videos, with code shared on GitHub. Her background spans academia and industry, including research at University of Southern Denmark and SW engineering for ASML through Capgemini, giving her hands-on expertise in Python, TensorFlow, optimization, and cloud-based data environments. Colleagues note her strength in integrating disparate codebases and documenting reproducible workflows, and she brings a practical eye for performance tuning on resource-limited platforms.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Physics, 3.75, Bachelor of Science - BS, Physics, 3.75 at 서울시립대학교