Research Focus

In my research, I leverage recent advances in quantitative techniques and the increasing availability of large datasets to investigate major socioecological conservation challenges, particularly how various aspects of invasion (i.e. the invader itself, the recipient system and drivers of invasion) operate at broad spatiotemporal scales and across scales.

Past and current research topics include invasive traits, the role of beta diversity in invasibility, and assessing drivers of invasive spread. I am also a fan of big-literature reviews and automated content analysis techniques. In past research projects, I have utilized a variety of quantitative methods, such as machine-learning techniques, multivariate analyses, Bayesian statistics and geospatial methods.

Forecasting Invasions using Species Traits

Macroscale Patterns of Biotic Resistance

Macroscale Invasive Forest Pest Management

Automatic Content Analysis