• United Kingdom

Accepting PhD Students

PhD projects

Dr Wheeler is interested in supervising projects in machine learning for infectious disease genomics and surveillance


Research activity per year

Personal profile


Dr Wheeler has a background in biochemistry and microbial genomics, complemented by experience in developing machine learning methods for predicting the effects of genetic variation on the virulence of pathogens. Her work focuses on the development of screening tools for identifying DNA from emerging biological threats, establishing genomic pathogen surveillance in resource-limited settings, One Health surveillance of antimicrobial resistance, and the ethical development of artificial intelligence (AI) for health applications. She has provided expertise on machine learning for genomic pathogen surveillance for several international programs, including a world-first AI-driven One Health AMR surveillance system. She is also actively involved in public outreach and the development of governance frameworks to ensure the safe and responsible development of technologies for health improvement. 

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
  • SDG 4 - Quality Education
  • SDG 5 - Gender Equality
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 16 - Peace, Justice and Strong Institutions
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Doctor of Science, Identifying functional adaptations associated with pathogenicity in bacteria, University of Canterbury

Award Date: 1 Jun 2017

Bachelor of Science, University of Canterbury

Award Date: 1 Apr 2013


  • Q Science (General)
  • Bioinformatics
  • Biochemistry
  • Genomics
  • Machine Learning
  • Microbiology
  • Infectious disease


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