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Xiaojun Zhu

Associate Professor, Applied Statistics

Calculated based on number of publications stored in Pure and citations from Scopus
20142026

Research activity per year

Personal profile

Personal profile

Xiaojun Zhu received a BSc in Statistics in 2010 and a PhD in Mathematics (Statistics) in 2015, both from McMaster University, Canada. He is currently an Associate Professor in the Department of Financial and Actuarial Mathematics at Xi’an Jiaotong-Liverpool University in Suzhou, China. His research focuses on reliability statistics, survival analysis, and clinical trial design. He also serves as an Associate Editor for several journals and has received awards such as the Jiangsu Science and Technology Programme - Excellent Young Scholar Programme and the Jiangsu 333 High-level Talent Programme.

Research interests

  • Reliability
  • Applied Statistics

Experience

Associate Professor, Department of Financial and Actuarial Mathematics, 2022-present

Assistant Professor, Department of Mathematical Sciences, 2017-2022

Statistician, Office of Institutional Research and Analysis, McMaster University, Canada, 2015-2017

Teaching

MTH316 Applied Multivariate Statistics

MTH313 Loss Distribution

MTH306 Credibility Theory

MTH303 Linear Statistical Models

MTH206 Distribution Theory

MTH205 Introduction to Statistical Methods

MTH104 Introduction to Statistics

MTH008 Multivariable Calculus

MTH007 Linear Algebra

Awards and honours

2025 Jiangsu 333 High-level Talent Programme

2022 Jiangsu Science and Technology Programme -- Excellent Young Scholar Programme

2018 National Natural Science Foundation of China -- Young Scholar Programme

2018 Jiangsu Science and Technology Programme -- Young Scholar Programme

 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Ph.D, McMaster University, Canada, - 2015

Research areas

  • Reliability
  • Applied Statistics
  • Survival Analysis
  • Distribution Theory
  • Complex Data Analysis

Person Types

  • Staff

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