Summary
Kento Sugimoto is an assistant professor at Osaka University and a medical informatics researcher with 10 years of experience applying natural language processing and AI to real-world clinical data. He bridges academic research and industry practice through roles as a technical advisor and data scientist across Japanese healthcare and tech companies, translating clinical problems into deployable machine learning solutions. His work spans from hands-on model development to advising implementation, reflecting a rare combination of clinical-domain training in medical sciences and practical engineering. Based in Osaka, he focuses on making NLP models robust for messy clinical text and accelerating healthcare innovation through pragmatic, research-driven deployment. Notably, he maintains an engineer mindset alongside his faculty role, enabling rapid iteration between prototype and clinical study.
10 years of coding experience
7 years of employment as a software developer
医学系研究科, 医科学専攻, 医学系研究科, 医科学専攻 at 大阪大学