Welcome to my webpage. I am Taegyu Kang (강태규 in Korean), a Postdoctoral Fellow in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. My mentor is Prof. Souvik Dhara.

My research is in probability theory and network analysis, particularly focused on establishing probabilistic and statistical foundations of higher-order networks and geometric networks, which are primarily modeled by random simplicial complexes and random geometric graphs. My overall research interests are represented by the following keywords: stochastic processes on random simplicial complexes, local-to-global principle, phase transitions, continuum percolation, limit theorems in stochastic geometry, rare events and decision-making problems in networks, geometric probability and statistical inference, etc.

In parallel, I am also interested in topological data analysis (TDA), particularly in developing trustworthy TDA methods, including the consideration of data privacy (differential privacy).

I received my Ph.D. in Statistics from Purdue University in 2025 under the supervision of Prof. Takashi Owada. Before then, I received my B.A. in Economics and  B.S. in Mathematics from Yonsei University in South Korea in 2018, and my M.A. in Statistics from the same university in 2020 under the supervision of Prof. Jongho Im.