Hyotae Kim

Hyotae Kim

Postdoctoral Associate

Department of Statistical Science, Duke University


I am a postdoctoral associate in the Department of Statistical Science at Duke University, working with Professor Li Ma. I obtained my Ph.D. in Statistical Science at University of California, Santa Cruz, where I was very fortunate to be advised by Athanasios Kottas. My dissertation focused on Bayesian nonparametric modeling and inferences for point processes, with an emphasis on seismological application.

  • Bayesian Nonparametrics
  • Spatio-Temporal Modeling
  • Point Process
  • Statistical modeling of microbiome sequencing data
  • Metagenomics / Metatranscriptomics
  • PhD in Statistical Science, 2021

    University of California, Santa Cruz

  • Master of Statistics, 2015

    Korea University

  • Bachelor of Science in Computer Science / Bachelor of Economics in Statistics, 2011

    Korea University

Recent Publications

(2022). Erlang mixture modeling for Poisson process intensities. In Statistics and Computing, 32 (1), 1-15.

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(2021). Nonparametric Bayesian Modeling and Estimation for Renewal Processes. In Technometrics, 63 (1), 100-115.

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(2015). Performance comparison of random number generators based on Adaptive Rejection Sampling. In Journal of the Korean Data and Information Science Society, 26 (3), 593-610.

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