About

Work Experience

  • From September 2022: Biostatistician, Clinical Epidemiology and Biostatistics Unit (CEBU), University of Melbourne & Murdoch Children’s Research Institute
  • 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, May 2023
  • MSc in Statistics, University of Auckland, Auckland, New Zealand, December 2017
    • with First Class Honour
  • PgDip in Statistics, University of Auckland, Auckland, New Zealand, December 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 Clinical Epidemiology, Journal of Open Source Software, Paediatric and Perinatal Epidemiology, International Journal of Paediatric Dentistry, Journal of Child Health Care
  • Coordinator, The Victorian Centre for Biostatistics (ViCBiostat) Seminar (2025 -)
  • Coordinator, Data Science Journal Club at Murdoch Children’s Research Institute (2023-2024)