Research
My research focuses on forest change and stand dynamics, especially how management and natural disturbances affect forests and their ecosystem services. I explore questions such as which forest management practices deliver the products and services society needs now and in the future, how to manage forests for resilience, and what trade-offs exist among ecosystem services.
Currently, I investigate how forest dynamics models can predict future forests, how uncertainty arises at the landscape level, and how to reduce and leverage that uncertainty for robust projections.
I enjoy working with data and models to understand how forests systems function and to project future outcomes, applying scientific knowledge towards better forestry.
Research blocks
Forest Dynamics and Ecological Uncertainty
This research examines how climate change and natural disturbances shape forest dynamics, explicitly representing uncertainty in models to deliver more realistic projections of forest trajectories under changing environmental conditions.
Adaptive and Flexible Forest Decision-Making
This research develops adaptive forest management strategies that remain robust under deep uncertainty, evolving societal expectations, and competing objectives.
Data Engineering for Forest Systems
This research develops cross-scale forest data integration to improve state representation, model robustness, and the range of ecological questions that can be addressed.
Real-World Decision Support Systems
This research addresses implementation, access, and institutional fit to ensure analytical tools meaningfully support real-world forest management decisions.