Biography

I am a postdoctoral fellow at Nima Aghaeepour Lab, interested in applying machine learning and technology for better disease diagnosis and treatment. I completed my M.D. at Sungkyunkwan University School of Medicine and did B.S. in Chemistry at Korea Advanced Institute of Science and Technology (KAIST).

During my time at medical school, I saw many patients suffering from disease sequelae or even died 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 became my passion. I have believed computer science and engineering would take a key role in solving these unmet clinical needs.

Therefore, I went to Georgia Tech, Biomedical Engineering, for a Master’s degree after medical school. At Georgia Tech, I did a project to predict sepsis in ICU patients 6 hours before a disease outbreak using deep learning. After that, I worked at Insight Data Science Boston and Humana studio_h as a health/clinical data scientist. There, I 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. I also previously worked on improving robotics surgery by developing a new fluorescence visualization tool using ICG in pulmonary lobectomy.

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I enjoy attending group exercise classes after work, especially Zumba and cycling. On weekends, I love exploring local cafes and breweries with my husband and friends. I also enjoy visiting new places, reading, watching movies, and photography.