​RESEARCH INTEREST

• Network Science

• Approximate Bayesian Computation

• Machine Learning

• Statistical Consulting

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Many real-world systems are composed of components linked in some way. For example, a collection of computers linked by data connections or people linked by an acquaintance. Understanding the pattern of connection is essential to understanding how the systems work. Network science is an effective method for analyzing these connection patterns. My research concentrates on the development of statistical tools for network science and the utilization of network data to enhance the precision of statistical modeling and decision-making. Besides, I am also interested in Approximate Bayesian Computation, Machine Learning, and Statistical Consulting. 

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