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Le Wei

Le Wei

Epidemiologist with expertise in physical activity and statistical analyses

人才
Zhengzhou加入时间 2026年5月31日
R programmingIndependent, stratified, and joint analysisGeneralized linear modelsSurvival analysisCox proportional hazard modelFine-Gray subdistribution hazard modelSpline-based modelsCompositional isotemporal substitution modelGeneralized additive modelsMultilevel modelsBootstrapping techniquesReceiver Operating Characteristic analysisBland-Altman plotIntraclass Correlation Coefficients (ICC)Confusion matricesWeighted analysesCausal inference approachDirected acyclic graphsPhysical activity measurementNoldus Observer XTData managementData extraction protocolsVariable coding
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R programmingIndependent, stratified, and joint analysisGeneralized linear modelsSurvival analysisCox proportional hazard model

关于

I am an early-career epidemiologist with a strong publication record, recognized for developing innovative research ideas and delivering high-quality outputs through both independent work and collaboration. My doctoral research assessed the metrics that reflect physical activity intensity and investigated the independent and joint associations of different physical activity dimensions (intensity, volume, type, context) with chronic disease and mortality outcomes. I have extensive experience working with large datasets, applying advanced statistical methods, and visualizing complex results.

I am a detail-oriented and highly motivated researcher. I am now seeking a post-doctoral position where I can build on my expertise and contribute to high-impact research in physical activity epidemiology.

工作经历

Research Officer at School of Health Sciences, Faculty of Medicine and Health, University of Sydney (2025-07 – 2025-12)

  • Leading a project (study design, data analysis and interpretation, and manuscript writing) investigating the potential health effects of physical activity patterns for adults with prior chronic diseases.
  • Leading a project (study design, data analysis and interpretation, and manuscript writing) exploring how various physical activity bout lengths affect the estimation of physical activity related health effects.
  • Conceptualised study design and corresponding protocol regarding the validation and comparison of the machine learning algorithms that identify different aspects of physical activity to an international collaborative team.

Statistician at Medical Record Department at the First Affiliated Hospital of Zhengzhou University (2017-08 – 2021-06)

  • Conducted statistical analyses for projects led by researchers, ensuring accurate data interpretation and clear presentation of results for publication and clinical decision-making.
  • Provided comprehensive data support for multiple hospital-based research projects, including data management, designing data extraction protocols, cleaning raw clinical and survey datasets, variable coding and generating descriptive summaries for preliminary analyses.
  • Contributed to statistical analysis, data interpretation, and drafting of manuscripts for departmental research projects, including a study on COVID-19 prevention conducted shortly after the outbreak.

Lecturer at Zhengzhou Health College (2020-06 – 2020-12)

  • Delivered lectures on big data analysis, introductory machine learning algorithms, and medical record management

教育背景

Doctor of Philosophy in Physical Activity, Lifestyle, and Population Health – University of Sydney (2021 – 2025)

Master of Business Administration in Business Analytics – Hofstra University (2015 – 2017)

Master of Science in Marketing Research – Hofstra University (2013 – 2015)

Bachelor of Science in Marketing – Kansas University (2007 – 2012)

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