Kim is an Assistant Professor (Adjunct) of Population and Quantitative Health Sciences. His research leverages his uniquely broad and deep educational background, which includes biostatistical and epidemiological training through his PhD in Clinical Translational Science; healthcare economics and management sciences training through his MBA; and clinical medicine training through his MD and residency. This has resulted in a portfolio of research that spans from policy evaluation (focusing on Medicaid expansion), to cancer epidemiology, and even to the development of novel biostatistical techniques ("weighting by income probabilities").
Kim's discipline-spanning research has been supported extensively through intramural and extramural funding and has been recognized at the regional- (Crain’s Business Journal 20 in their Twenties) and national-level (Association for Clinical and Translational Science Pre-Doctoral Award). His primary research aim is to lead studies that will narrow healthcare disparities and improve the equity, efficiency, and effectiveness of healthcare systems by leveraging data-driven methodologies, interdisciplinary collaboration, and innovative statistical approaches. By bridging the gap between clinical practice, healthcare policy, and data science, Kim seeks to make a meaningful impact on the future of healthcare delivery and population health.