Heejong Bong

Special Faculty - Postdoctoral Researcher. Department of Statistics & Data Sciences, Carnegie Mellon University.


128-C Baker Hall

Carnegie Mellon University

5000 Forbes Ave.

Pittsburgh, PA 15213

As a postdoctoral researcher in the Department of Statistics and Data Sciences at Carnegie Mellon University (CMU), I am currently working on three research projects in collaboration with Professors Robert E. Kass, Valérie Ventura, Larry Wasserman, Zhao Ren, Alessandro Rinaldo, and Arun Kuchibhotla. My research interests include spatiotemporal methods, graphical models, causal inference on time-series data, high-dimensional central limit theorem, and ranking from pairwise comparisons. For a list of my current and previous research topics, please visit my projects page.

I recently completed my Ph.D. in Statistics at CMU, where I was advised by Professors Robert E. Kass and Valérie Ventura. My doctoral thesis focused on developing and studying statistical methods for discovering communication across brain regions from neural recordings. I addressed the high-dimensional challenge using latent factor time-series and matrix-variate graphical models. During my Ph.D., I was fortunate to collaborate with Professor Alessandro Rinaldo on the theoretical consistency of ranking from pairwise comparisons.

I am excited to be joining the University of Michigan as a postdoctoral researcher, under the supervision of Professors Liza Levina and Ji Zhu, starting in the summer of 2023.


Jul 6, 2022 I defended my thesis ‚ÄúDiscovery of Functional Predictivity across Brain Regions from Local Field Potentials‚ÄĚ
May 15, 2022 My submission to ICML2022 about Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model is accepted for one of 118 long presentations.
Nov 3, 2019 I won the 1st place on Reproducible Research Paper Competition, CMSAC19, for Time-Varying Bradley Terry Ranking Model with Penalized Estimation, as a collaborated work with Shamindra Shrotriya and Wanshan Li. Check the following CMU Stats Twitter.
May 22, 2019 I presented about Linear Factor Model for Discovering Lead-Lag Relationship between Two Brain Areas in the poster session of SAND9.

selected publications

  1. Latent cross-population dynamic time-series analysis of high-dimensional neural recordings
    Bong, Heejong, Ventura, Valérie, Yttri, Eric A, Smith, Matthew A, and Kass, Robert E
    submitted to Annals of Applied Statistics 2021
  2. ICML
    Generalized results for the existence and consistency of the MLE in the Bradley-Terry-Luce model
    Bong, Heejong, and Rinaldo, Alessandro
    In International Conference on Machine Learning 2022
  3. High-dimensional Berry-Esseen Bound for m-Dependent Random Samples
    Bong, Heejong, Kuchibhotla, Arun K, and Rinaldo, Alessandro