Research
Artificial Intelligence
We use AI to model species distributions, forecast environmental change, and support conservation decisions. SpatChat, our open-source conversational AI platform, illustrates how these tools can make spatial ecology and biodiversity science more accessible for research and education.
Conservation in a Changing World​
We study how biodiversity and ecosystems respond to climate change, habitat loss, and other human pressures. Using landscape ecology, informatics, and AI, our goal is to design adaptive strategies that protect wildlife and support coexistence between people and nature in an uncertain future.
Landscape Genetics
We explore how landscape features influence the movement, gene flow, and population structure of species. By combining genetic data with spatial analyses, we uncover how habitat fragmentation, barriers, and connectivity shape biodiversity, informing conservation strategies that maintain genetic diversity and ecological resilience.
Movement Ecology
We study how animals move across landscapes and how those movements shape population dynamics, connectivity, and conservation outcomes. By integrating tracking data, spatial models, and landscape features, our research reveals how barriers and corridors influence movement, informing strategies to maintain connectivity and support resilient ecosystems.
Human–Wildlife Conflict
Our research examines how people and wildlife share and compete for space in changing landscapes. We use spatial analysis, ecological modeling, and interdisciplinary approaches to understand drivers of conflict—such as habitat loss, fragmentation, and resource competition—and to design strategies that promote coexistence and reduce negative impacts for both communities and wildlife.