Research Interests: Mathematical Statistics; specifically high-dimensional statistics, nonparametrics, applied probability, and application to graph data.  

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The following research projects are what I had done during my Ph.D. studies:

Kim, B., Agterberg, J., and Chen, Y. (2025). The Offline Change Point Detection in a Dynamic Network via Link Connectivity and Link Adjacency: a Spectral Norm Approach. Technical Report.  

Kim, B. and Chen, Y. (2025). The Closed-end Online Change Point Detection in a Dynamic Network via Link Connectivity and Link Adjacency: a Brownian Motion Approach. Technical Report.  

Kim, B., Niu, X., and Chen, Y. (2025). The Link Weights Prediction in Dynamic Networks via a Latent Space Model and Hierarchical Processes. Technical Report. 

Liu, Y., Kim, B., and Chen, Y. (2025). Consistency of Variational Inference for Community Detection in Multi-Layer Stochastic Block Models. Technical Report. 

Kim, B., Liu, Y., and Chen, Y. (2025). Matrix Factorization Methods for Community Detection in Dynamic Networks. Technical Report.  

Kim, B. and Chen, Y. (2025). A Hypothesis Testing on the Comparison of Two Multi-Layer Networks: a Kernel-based Approach. Technical Report. 

Kim, B. and Chen, Y. (2025). Community Detection on the Multi-Layer Networks with Multiple Node Types and Signed Links. Technical Report. 

Kim, B., Zhang, J., and Chen, Y. (2025). The Feature-Based Node Influence Mixed Membership Stochastic Block Models on Heterogeneous Networks. Technical Report.