About me

I believe there is not the best method in statistics, we can explore and explain different types of data by different appropriate statistical methods. Statistical methodology is like a kind of art. Finding a way to explain the story behind the data elegantly is like a masterpiece. Statistical inference is an important way to explore the structure and the meaning of data.

Education Background

M.S Appled Statistics, University of Michigan-Ann Arbor(Umich)

B.A Financial Mathematics, Zhongnan University of Economics and Law(ZUEL)

Research Interest

  1. Statistical Inference.
  2. High Dimensional Analysis.
  3. Network Analysis.
  4. Statistical Learning.

Personal Biography

As an undergraduate majoring in Financial Mathematics, I was captivated by the world of statistics, where its distinctive methodologies offered me a fresh lens through which to view reality. In a world characterized by constant change, statistical thinking ignited my passion for exploring the intricate dance of randomness and transformation. It provided me with an unparalleled sense of fulfillment, as I reveled in the process of collecting, analyzing, and interpreting data, finding meaning in the dynamic tapestry of our world.

Between 2022 and 2023, I actively participated in several high-stakes mathematical modeling competitions. Each challenge was an opportunity to bridge theoretical knowledge with real-world application. This exhilarating blend of theory and practice not only refined my skills but also unveiled innovative ways to enhance and optimize traditional models. These experiences deepened my understanding and provided me with fresh perspectives on theoretical concepts.

In the spring of 2023, I made the pivotal decision to embrace statistics as my major, a choice that led me to the esteemed Department of Statistics at the University of Michigan in 2024. With a heart brimming with enthusiasm and a mind eager to innovate, I am excited to contribute my unique ideas and passion to the field, aiming to make a significant impact in the vast and evolving world of statistics.