Yijin obtained his BA at Beijing Institute of Technology, where he mainly studied analysis, algebra, partial differential equation, and started getting interested in data science. In 2020, Yijin moved to Imperial College London studying Statistics. During his study for his MSc at Imperial, he developed particular interests in non-parametric inference and computational statistics. In his MSc project, he investigated the utility of Wasserstein metric in two-sample test and compare the Wasserstein metric with other probability metrics. At StatML, Yijin will be working on Change Point Detection with his supervisor Dean Bodenham and Niall Adams. In his spare time, Yijin enjoys sports and music.
Yijin Zeng
