James Kim

James Kim is a senior, pre-med Biomedical Engineering major with an emphasis in Bioinformatics. He is from St. Louis, Missouri. He is currently finishing his honors thesis with Dr. Peter Tonellato and Dr. Gary Yao, through which he completed a statistical analysis of electronic medical record use metrics to identify potential risk factors for physician burnout. James also conducted research at Emory University as a Summer Undergraduate Research Experience fellow, where he researched factors of cardiovascular disease using the machine-learning technology of text-mining. He was accepted to present this research at the National Conference for Undergraduate Research and Stanford Research Conference before they were cancelled by COVID-19. James then presented his thesis research at the Annual Biomedical Research Conference for Minority Students as well as the Class Project Day and strives to continue informatics research to reduce inequities in US public health. During his time at MU, James has enjoyed Club Tennis, TEDxMU, Freestyle Your Expression, and many more extracurriculars. After graduation, he will pursue a Master of Science in Health Data Analytics and Machine Learning at Imperial College London while applying for medical school.