Education

• PhD 2019, University of Illinois- Urbana-Champaign
• MS 2013, Chicago State University
• BS 2011, Northeastern Illinois University

Research

• Computational ecology, long-term data sets, geographic information systems and remote sensing, biodiversity conservation, emerging wildlife diseases

Research Summary

• Halsey’s research stresses the importance of using long-term data sets, GIS, and remote sensing. She uses computational approaches to understand the mechanisms involved in the patterns we see in nature. Most of her work involves using modeling approaches to delineate how spatial and temporal changes in ecological interactions influence a focal species. She holds a particular interest in informing management actions with her models. As a computational ecologist, she takes integrative approaches to modeling complex systems while examining the consequences that management actions on biodiversity conservation and emerging disease systems play across a hierarchy of spatial and temporal scales.