About

Work Experience

  • From September 2022: Biostatistician, Clinical Epidemiology and Biostatistics Unit (CEBU), Murdoch Children’s Research Institute
    Honorary Research Fellow, University of Melbourne
  • 2021–2022: Statistical Consultant, Statistical Consulting Centre, University of Auckland
  • 2016–2021: Teaching / Research Assistant, University of Auckland

Education

  • PhD in Statistics, University of Auckland, Auckland, New Zealand, 2022
  • MSc in Statistics, University of Auckland, Auckland, New Zealand, 2017
    • with First Class Honour
  • PgDip in Statistics, University of Auckland, Auckland, New Zealand, 2016
    • with Distinction
  • BSc.(Hons) in Statistics, Northwestern Polytechnical University, Xi’an, China, 2015

Research Interests

  • Causal machine learning and causal mediation analysis
  • Applied causal inference
  • Design and analysis of complex surveys
  • Statistical computing: tools for programming, data analysis and interactive teaching.

Teaching

  • Guest Lecturer: Introduction to Biostatistics in the Research Methods course for the Doctor of Clinical Dentistry program, Melbourne Dental School (2024, 2025)
  • ViCBiostat Summer School: Advanced Causal Inference: Target Trial Emulation with Time-Varying Treatments – Teaching Team (2025)
  • Short Course: Observational Studies: Modern Concepts and Analytic Methods – Teaching Team (2023, 2024), Course Coordinator and Teaching Team (from 2025). This course offers twice per year
  • Short Course: Introduction to R – Lecturer (2023), Course Coordinator and Lecturer (2024)
  • ViCBiostat Summer School: Causal Mediation Analysis – Teaching Team (2024)
  • ViCBiostat Summer School: Causal Analysis Methods: Beyond Standard Regression – Teaching Team (2023)
  • Short Course at the Australasian Epidemiological Association Annual Meeting: Causal Analysis Methods: Beyond Standard Regression – Teaching Team (2023)
  • Teaching Assistant, University of Auckland – Courses: STATS 108: Introduction to Statistics, STATS 201: Data Analysis, STATS 240: Design and Structured Data, STATS 330: Statistical Modelling, STATS 380: Statistical Computing (2016-2021)

Awards

  • Best Paper Award in Biometrics 2023
    International Biometric Society

    • Multiwave validation sampling for error-prone electronic health records

    • The award is given by the IBS biennially to one Biometrics paper from each of the previous two years identified by the co-editors as being of the highest quality and importance

  • University of Auckland Doctoral Scholarship 2018 - 2022
  • University of Auckland Summer Research Scholarship 2017

Service

  • Reviewer, Statistics in Medicine, Statistical Methods in Medical Research, Epidemiology, Journal of Statistical Planning and Inference, Paediatric and Perinatal Epidemiology, International Journal of Paediatric Dentistry
  • Coordinator, The Victorian Centre for Biostatistics (ViCBiostat) Seminar (2025 -)
  • Coordinator, Data Science Journal Club at Murdoch Children’s Research Institute (2023-2024)