Research
Robust Systematic Conservation Prioritization
An R package for conservation planning under uncertainty — generating solutions robust to climate projections, species distribution models, and ecosystem service estimates.
Risk Modelling for UK Tree Planting
Decision-support framework for resilient tree-planting strategies under compounding climate and economic uncertainties, informing national net-zero land use policy.
Presented at EAERE 2022. Media coverage: The Guardian, Phys.org, and others.
Flexible Koala Conservation Decisions
Stochastic optimization model showing that adaptive conservation strategies can substantially reduce costs and mitigate climate-driven extinction risk for koalas on private land.
VESDIO — Supply Chain Ecosystem Risk
A web app for quantifying how ecosystem service disruptions propagate through global supply chains, helping businesses assess and disclose nature-related financial risk.
Monte Carlo Landscape Decisions
Spatially-explicit Monte Carlo simulations of land-use decision models, examining how parameter uncertainty propagates through landscape-scale policy outcomes.
Presented at BIOECON 2023.
Remote Sensing of Post-Typhoon Effects
Geospatial analysis of typhoon-induced landscape change using satellite imagery, combining Google Earth Engine and ArcGIS to map recovery patterns.
ESRI China Young Scholars Award 2019 — Second Runner-Up.
About
I am a Research Fellow in Data Science and Artificial Intelligence at Monash University. My research develops computational tools — combining optimisation, machine learning, and geospatial analysis — to guide environmental decisions under uncertainty. I work at the intersection of biodiversity conservation, climate adaptation, and AI.
Previously, I completed a joint PhD in Environmental Economics at the University of Exeter and the University of Queensland, and hold a bachelor's and master's degree in Geography from the University of Hong Kong.