Inyoung Kim

Inyoung Kim is a Professor in the Department of Statistics at Virginia Tech, affiliated with the College of Science. She joined Virginia Tech in 2007 after completing a postdoc in Biostatistics at Yale University and a PhD in Statistics from Texas A&M University. Her research focuses on semiparametric/nonparametric modeling, Bayesian computation, biostatistics, and bioinformatics.

• Education:
  • PhD in Statistics, Texas A&M University (2002)
  • Postdoc in Biostatistics, Yale University (2007)
  • M.S. in Applied Statistics, Yonsei University
  • B.S. in Mathematics, Jeju National University

Her research interests span semiparametric/nonparametric modeling, Bayesian methods, biostatistical applications in environmental health and genomics, and functional data analysis. Recent work includes advancements in kernel machine regression for pathway analysis and nonparametric Bayesian clustering.

Notable awards include the Best Paper Award in Biometrics (2018), ENAR Student Paper Award (2019), and the Best Biometrics Paper of the Year (2016). She is actively involved in professional organizations like the ASA and ISBA.

Her teaching includes courses on nonparametric statistics, regression analysis, and Bayesian methods. She collaborates across disciplines, including biomedical research and environmental epidemiology.