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Kwangik Hong has a diverse work experience in the field of statistical analysis and research. From 2005 to 2012, they worked as a Research Associate at Yale University, where they conducted statistical data analysis on various biological and psychological measures related to drug relapse. Kwangik also trained students, research associates, and scholars on statistical methods. From 2012 to 2013, they participated in a research team investigating novel biomarkers for detecting early kidney failure among internal organ transplant patients, building a survival model and designing relational databases. Lastly, from 2013 to 2016, they worked as a Statistical Analyst at Community Health Network of Connecticut, Inc. Here, they specialized in health care quality measures such as PQI, HEDIS, and Core Measures, and conducted data analysis for reports from the CT Department of Social Security. Kwangik also had expertise in NYU ED Algorithm and Johns Hopkins ACG System.

Kwangik Hong completed their Bachelor of Business Administration (BBA) degree with a focus on Accounting and Finance at the University of Iowa from 2000 to 2003. Kwangik further pursued a Master's degree in Statistics from Yale University from 2003 to 2005. In addition to their formal education, Kwangik Hong has obtained an Advanced SAS certification, although specific details regarding the institution, month, and year of completion are not provided.