I am an early-career quantitative and applied global change ecologist committed to bridging science, practice, and policy through the development of scientifically defensible, statistically robust, accessible, and actionable decision-support tools for biodiversity conservation. My research focuses on mapping global connectivity and advancing its applications for conservation and ecosystem restoration. I am generally interested in topics about biological invasions, macroecology, biogeography, ecogeography, and global change ecology.

I am a PhD student in the Conservation Science Group (Zoology) and Energy and Environment Group (Computer Science); I am part of the larger AI for Environmental Risks (AI4ER) Centre for Doctoral Training with funding from the Cambridge Centre for Carbon Credits (4C). My research focuses on the uses of predictive modeling for biodiversity conservation, with an emphasis on quantifying species-specific responses to human disturbance and an eye towards integration into 4C’s LIFE biodiversity metric to capture fine-grained changes in species extinction risk.