Summary
Sooyoun Oh is a data scientist in Washington, D.C. with nine years of experience bridging computational science, numerical methods, and machine learning across national labs, academia, and industry. She has a strong research foundation—an MS in Computational Science from Georgia Tech and a Cornell CS BS—and has published first-author work on co-clustering and medical imaging augmentation while improving clustering performance and segmentation datasets. At Booz Allen and Sandia she translates research into production-ready solutions; earlier internships include optimizing neural network training in AWS SageMaker and adapting image detection for point clouds. Comfortable teaching and mentoring, she has served as a TA for numerical analysis and machine learning courses and built curriculum for youth engineering programs. Her profile reflects a blend of rigorous algorithmic thinking and practical deployment experience that reliably turns complex data problems into actionable systems.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computational Science, 3.90, Master of Science - MS, Computational Science, 3.90 at Georgia Institute of Technology
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Cornell University
English, Korean