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Brenda Vo

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Brenda Vo

Dr

 https://orcid.org/0000-0003-0943-9768
20152024

Research activity per year

Personal profile

Biographical Details

Dr Brenda Vo is a Lecturer in Statistics with expertise in theoretical and applied Bayesian statistics, especially with applications in health and cell biology. Brenda completed her PhD in Computational Bayesian Statistics in 2016 at Queensland University of Technology (QUT). The thesis develops new statistical methods to provide key insights into the mechanisms driving the spread of cell populations such as motility, proliferation and cell-to-cell adhesion, using experimental data. The new methods allow us to precisely estimate the parameters of such mechanisms, quantify the associated uncertainty and investigate how these mechanisms are influenced by various factors. It provides a useful tool to measure the efficacy of medical treatments that aim to influence the spread of cell populations.
 
Before her appointment at UNE in August 2017, Brenda worked as a biostatistician on several projects in public health and nutrition sciences at QUT and Menzies School of Health Research, and as a Maths teacher at Kien Giang Community Collegue in Vietnam.
 
Brenda’s research works focus on complex statistical analyses and interpretation of population-based epidemiological data with specific focus on machine learning algorithms for applications in infectious disease transmission and health behaviors. Brenda is actively engaged in several multi-disciplinary projects in wide-ranging collaborations; both internally and externally. Projects topics are:
 
  • Developing a predictive model for patients with Acute Rheumatic Fever using blood biomarkers.
  • Modelling patient uptake and satisfaction with telehealth services in rural Australia.
  • Modelling the relationship of Q fever notifications with livestock movement and determining factors that influence the immunisation rates, knowledge and awareness of Q fever among high risk groups.
  • Evaluating the “Living well multicultural lifestyle modification program”, a joint project between the School of Exercise and Nutrition Sciences, QUT, and the Ethnic Communities Council of Queensland (ECCQ).
 
Brenda is currently co-supervising three PhD students, overseeing and providing statistical supports for serval HDRs and researchers at UNE. She is also keen to engage in the international outreach that looks at strategies to enhance collaborations between UNE and Vietnam universities. Outside of professional life, Brenda has interests in family, politics, human rights and travelling.

Approved to Supervise

  • Approved PhD/HDR supervisor

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):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 5 - Gender Equality
    SDG 5 Gender Equality
  4. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  5. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

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