Summary
Youngju Lee is a data scientist with eight years of experience applying ML and data-driven solutions across display and electronics industries, currently building image-based anomaly detection and inverse modeling pipelines at Samsung Electronics. With a strong foundation in chemical engineering (B.S. summa cum laude and M.Eng., Virginia Tech), she bridges domain expertise and machine learning to optimize multi-zone process recipes and production validation. Her background includes leadership roles at LG Display and 3VIew, where she led projects from prototyping to deployment and contributed to model serving and DX initiatives. Eager to learn new programming skills, she combines hands-on modeling work with a collaborative, service-oriented mindset aimed at benefiting teams and the broader community.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Chemical Engineering, 3.86, summa cum laude, Bachelor's degree, Chemical Engineering, 3.86, summa cum laude at Virginia Tech
English