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

My research is in probability theory, especially random graph theory and its higher-order analogues, such as the theory of random simplicial complexes, and its applications to problems from data science, notably from network analysis and topological data analysis. I am particularly interested in the following topics: rare events in random geometric graphs (large deviations), graph limits and their extensions to simplicial complexes, asymptotic behaviours of graph/simplicial complex parameters, and spectral graph theory.

As for data science, my research interest particularly lies in topological data analysis. I am collaborating with various data scientists to develop methods in topological data analysis that incorporate vital ideas in modern data science, such as data privacy. 

I received my Ph.D. in Statistics at Purdue University in 2025 under the supervision of Prof. Takashi Owada. Before then, I received my Bachelor of Arts degree in Economics and  Bachelor of Science degree in Mathematics from Yonsei University in South Korea in 2018, and my Master of Arts degree in Statistics from the same university in 2020 under the supervision of Prof. Jongho Im.