• Over 10 years of experience in data science and analytics applied to agriculture, biodiversity, urban design, and ecological research
  • Provides strategic leadership and analytic guidance for national research initiatives, including the Analytics for the Australian Grains Industry, the Australian Plant Phenomics Network, and AI-driven environmental programs
  • Reviews and manages interdisciplinary projects for soundness of data workflows, reproducibility, and scientific rigor across government, academic, and NGO sectors
  • Contributes to writing technical documentation, grant applications, and peer-reviewed publications for ecological and agricultural data science projects
  • Performs intermediate- to expert-level data analysis, modelling, and interpretation using machine learning, spatial statistics, and computer vision
  • Develops and applies advanced analytical methods for species distribution modelling, automated wildlife detection, and high-dimensional image processing
  • Provides research mentorship and training workshops to scientists, students, and stakeholders in environmental data science and AI applications
  • Expertise in programming and statistical software including R and Python