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JUNGHYUN LEE is a skilled Machine Learning Researcher currently working at i-SENS, Inc. since April 2022, specializing in data preprocessing and statistical analysis of clinical raw signals to predict blood glucose levels using multi-linear regression algorithms. Prior to this role, JUNGHYUN served as a Machine Learning Engineer at Wanted Lab, where a Speech-to-Text application was designed and implemented utilizing the Nemo deep learning model from Nvidia, Inc. Experience as a Web Application Developer at Enterphin included developing an intranet service and creating a RESTful API with the MERN stack. Additionally, JUNGHYUN worked as a Project Management Coordinator at the Korea Foundation for International Healthcare, contributing to a project focused on enhancing medical equipment management in an Ethiopian hospital. JUNGHYUN holds a Bachelor of Engineering in Biomedical/Medical Engineering from Yonsei University, earned between 2010 and 2017.