Summary
Seok-ju Hahn (Adam) is a Postdoctoral Appointee at Argonne National Laboratory with eight years of experience at the intersection of federated learning, privacy-preserving AI, and collaborative machine learning. He holds a PhD in Industrial Engineering from UNIST, where his dissertation and prior MS work focused on algorithms for statistical heterogeneity and dimension-reduced generative approaches for federated systems. His work spans academic research, industry internships (Kakao Enterprise), and applied projects for manufacturing and science-grade foundation models, demonstrating a rare blend of theoretical rigor (perfect 4.30 GPA) and production-minded engineering. He has navigated both Korean and U.S. research environments, completed mandatory service while continuing federated-learning development at Seoul National University, and brings experience building real-world AI systems for personalization and privacy. Outside of research, he has led student organizations and music ensembles, reflecting leadership and a collaborative, creative mindset that informs his approach to team science and interdisciplinary problems.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Industrial Management Engineering, 3.81/4.30, Bachelor of Science - BS, Industrial Management Engineering, 3.81/4.30 at 울산과학기술원
Doctor of Philosophy - PhD, Industrial Engineering, 학점 4.30/4.30, Doctor of Philosophy - PhD, Industrial Engineering, 학점 4.30/4.30 at Ulsan National Institute of Science and Technology