Summary
Jae Woo is a Senior Applied Scientist with a decade of experience translating advanced ML research into production at scale, currently accelerating GenAI impact inside AWS’s GenAI Innovation Center. He has deep foundations from a Ph.D. in Applied Mathematics (Yale) and a track record at Samsung SDS building and optimizing foundation models, retrieval-augmented systems, and auto-labeling APIs—work that earned Samsung’s 2023 Gold Best Paper Award. Earlier roles at Moody’s and KAIST reflect strengths in scalable, high-performance numerical computing and large-portfolio risk systems, while a Simons postdoc showcases rigorous theoretical research in stochastic processes and information. He blends theory and engineering to deliver data-efficient reinforcement learning and active learning solutions, and is known for integrating ML research with pragmatic tooling for labeling, scheduling, and deployment in production environments.
10 years of coding experience
8 years of employment as a software developer
Ph.D. Applied Mathematics, Ph.D. Applied Mathematics at Yale University
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at Korea Advanced Institute of Science and Technology
English, Korean