Jung In Kim

Jung In Kim is an Assistant Research Professor in the Department of Statistics at Pennsylvania State University. Her research focuses on survival analysis, causal inference, and methods for time-to-event data, including recurrent events, unmeasured confounders with instrumental variables, and competing risks. She holds a Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill (2017), an M.S. in Statistics from UCLA (2010), and dual B.S./B.E. degrees in Mathematics and Statistics from Korea University (2008).

She teaches courses such as STAT 184 (Introduction to R), STAT 414 (Probability), and STAT 509 (Design and Analysis of Clinical Trials). Her work emphasizes methodological advancements in biostatistics and epidemiology, with applications to cancer risk and cohort studies. Despite no explicitly listed awards, her publications reflect significant contributions to statistical methodologies for complex healthcare data.