I am a quantitative ecologist and data scientist with expertise in ecology, climate change, spatial modelling, and artificial intelligence. My research focuses on developing advanced analytical methods to address complex environmental challenges and improve evidence-based decision-making in ecology, conservation, and natural resource management. I work at the intersection of ecological science, data science, machine learning, and quantitative modelling to understand how organisms and ecosystems respond to environmental change across spatial and temporal scales.

My research spans a diverse range of topics, from large-scale biodiversity and climate change analyses to field and laboratory studies of vertebrates and invertebrates across marine, freshwater, and terrestrial ecosystems. I am particularly interested in species distribution modelling, macroecology, uncertainty quantification, quantitative risk assessment, and the application of artificial intelligence to ecological and environmental research. My technical expertise includes R, Python, ArcGIS, SQL databases, high-performance computing, machine learning, deep learning, and reproducible scientific workflows.

Throughout my academic career, I have investigated a broad range of ecological systems and taxa, including marine elasmobranchs, freshwater crayfish, and Australian grasshoppers. My MSc research examined the conservation status of sawfish in Bangladesh. During my MPhil, I investigated the impacts of global climate change on freshwater crayfish and evaluated how uncertainty in climate projections influences vulnerability assessments. My PhD research explored the distribution patterns and adaptive strategies of Australian grasshoppers under changing environmental conditions, while also leading the digitisation and curation of more than five decades of historic grasshopper survey data to create one of Australia’s most comprehensive occurrence databases for the group.

In addition to my research background, I recently completed a Graduate Certificate in Artificial Intelligence with High Distinction, expanding my expertise in machine learning, deep learning, natural language processing, and modern AI methodologies. I am passionate about integrating artificial intelligence with ecological and environmental sciences to develop innovative solutions for biodiversity conservation, climate adaptation, and sustainable environmental management.

I have worked with leading research groups at the University of Melbourne, including the Climatic and Metabolic Ecology Lab and the Quantitative and Applied Ecology Group, and have contributed to numerous peer-reviewed publications in ecology and conservation science. I am currently seeking opportunities in academia, government, and industry where I can apply my interdisciplinary expertise in quantitative ecology, data science, and artificial intelligence to solve real-world environmental challenges and contribute to impactful research and innovation.

If you are interested in collaboration, discussing research opportunities, or obtaining a copy of any of my publications, please feel free to get in touch.