Yeasul (yera) Kim MD

Yeasul (Yera) Kim is a postdoctoral fellow at Nima Aghaeepour Lab, interested in applying machine learning and technology for better disease diagnosis and treatment. She completed her M.D. at Sungkyunkwan University School of Medicine and did a B.S. in Chemistry at Korea Advanced Institute of Science and Technology (KAIST). During her time at medical school, she saw many patients suffering from disease sequelae or even die because they couldn’t get the right treatment at the right time due to diagnosis and information delay. Ever since then, improving disease diagnosis and decentralization of healthcare information have become my passions. She has believed that computer science and engineering would play a key role in solving these unmet clinical needs.

Therefore, she went to Georgia Tech, Biomedical Engineering, for a Master’s degree after medical school. At Georgia Tech, she did a project to predict sepsis in ICU patients 6 hours before a disease outbreak using deep learning. After that, she worked at Insight Data Science Boston and Humana Studio as a health/clinical data scientist. There, she worked on automated sleep staging from sleep studies, treatment code(CPT) prediction based on diagnosis code (ICD), and member clustering by medical claim history and social determinants of health (SDoH) by applying machine learning on various clinical data. She also previously worked on improving robotics surgery by developing a new fluorescence visualization tool using ICG in pulmonary lobectomy.