Summary
Wonseok Shin is a scientist at Standigm with nine years of experience applying machine learning to drug discovery, specializing in graph neural networks, multimodal and self-/semi-supervised representation learning. He holds a master’s in Computer Engineering and dual bachelor’s in Computer Science and Mathematics from Seoul National University, where his thesis developed scalable algorithms for accurate subgraph counting in large graphs. His work bridges theoretical data-mining and practical bio/cheminformatics applications, informed by internships at Aigendrug and SNU’s Computer Theory Lab. Notably, he combines strong academic rigor (4.25/4.30 GPA) with hands-on ML engineering for real-world drug discovery pipelines.
9 years of coding experience
석사, Computer Engineering, 4.25 / 4.30, 석사, Computer Engineering, 4.25 / 4.30 at 서울대학교 (Seoul National University)
Bachelor of Engineering, Computer Science and Engineering, Bachelor of Engineering, Computer Science and Engineering at Seoul National University