Taegyu Kang

Postdoctoral Fellow


Contact

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  • Taegyu Kang Google Scholar

Education

  • Ph.D. Statistics (2025), Purdue University
  • M.A. Statistics (2020), Yonsei University
  • B.A. Economics (2018), Yonsei University

About

Taegyu Kang is a Postdoctoral Fellow in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Before joining Georgia Tech in 2026, he was a Visiting Assistant Professor in the Department of Statistics at Purdue University. He received his Ph.D. in Statistics from Purdue University in 2025. 

Research

My research focuses on the topology and geometry of large-scale networks and stochastic processes on networks with underlying geometry. Specific current interests are as follows: higher-order networks, random geometric graphs, continuum percolation, random topology (homology and homotopy of random simplicial complexes), topological data analysis, etc.

Representative Publications

  • Taegyu Kang, Sehwan Kim, Jinwon Sohn, and Jordan Awan, Differentially private topological data analysis, Journal of Machine Learning Research. 25 (2024), 1-42.
  • Christian Hirsch, Taegyu Kang, and Takashi Owada, Large deviations for the volume of k-nearest neighbor balls, Electronic Journal of Probability. 28 (2023), 1-27.