Research Interests

Bayesian Biostatistics, Longitudinal Data, Missing Data, Markov Chain Monte Carlo (MCMC), Network Science, Natural Language Processing (NLP)

Publications

• Kim MK, Daniels MJ, Walter GA, Rooney WD, Vandenborne KH, Willcocks RJ, Kim S. A novel approach to optimize composite biomarkers for continuous measures of clinical function: Application to muscle imaging biomarkers in Duchenne muscular dystrophy. (2026). In preparation.
• Kim, MK, Daniels MJ, Rooney WD, Willcocks RJ, Walter GA, Vandenborne KH. A new algorithm for sampling parameters in a structured correlation matrix with application to estimating optimal combinations of muscles to quantify progression in Duchenne muscular dystrophy. Statistics in Medicine, 44 (2025) 20-22.
• Carmichael, I, Wudel, J, Kim, M, Jushchuk, J. Examining the Evolution of Legal Precedent through Citation Network Analysis. North Carolina Law Review, 96 (2017) 227-269.

Projects

January 2017 – May 2017

• Word Contextualilzation of Various Clusters and Deep Learning Classification of the SCOTUS Citation Network and Text Data by Michael Kim, Scott Garcia, James Jushchuk and Ethan Koch.
  • Shiny App: Word Contextualization of Various Clusters
  • Code: for NLP, clustering, & dimensionality reduction

August 2016 – December 2016

• Centrality Analysis of the SCOTUS Citation Network by Michael Kim and James Jushchuk.
  • Visualizations: network graphs, time plots, rank plots, & histograms based on centrality measures
  • Code 1: for network visualizations & centrality analysis
  • Code 2: for PageRank, logistic regression, & rank-score

January 2016 – May 2016

• Exploratory Analysis of the SCOTUS Citation Network by Michael Kim and Chisung Cho.
  • Shiny Apps: in-degree, out-degree, & total-degree
  • GIFs: network graph of each year & interesting court cases
  • Code: for the above shiny apps & gifs