Postdoctoral Associate

Cathleen is a Postdoctoral Associate with the Vermont Cooperative Fish & Wildlife Research Unit at the Rubenstein School of Environment and Natural Resources. She recently completed her PhD at the University of Vermont as an NSF IGERT Smart Grid Trainee, along with a graduate Certificate in Complex Systems.

As part of her postdoctoral research, Cathleen is currently putting the finishing touches on an R package, AMMonitor, that supports long-term, landscape-scale semi-automated acoustic monitoring of wildlife. The package encompasses data management, automated species detection using statistical learning algorithms, temporal adaptive audio sampling to maximize detection of focal species, and a framework for dynamic occupancy modeling using acoustic data.

To motivate and inform the software development during her PhD, she partnered with the U.S. Bureau of Land Management to develop and deploy a remote acoustic wildlife monitoring proof-of-concept field study in U.S. BLM's Riverside East Solar Energy Zone in southern California. For her postdoctoral research, she is collaborating with the National Park Service to launch a new remote wildlife monitoring study at Indiana Dunes National Lakeshore.


  • Balantic, C., & Donovan, T. (2019). Dynamic wildlife occupancy models using automated acoustic monitoring data. Ecological Applications, e01854. 
  • Balantic, C., & Donovan, T. Statistical learning mitigation of false positives in automated acoustic wildlife monitoring. In Review.
  • Balantic, C., & Donovan, T. Temporally-adaptive acoustic sampling to optimize detection across a suite of focal species. In Review.
  • Balantic et al. AMMonitor: Adaptive Management tools for landscape-scale automated acoustic wildlife monitoring. In Prep.


  • PhD, Natural Resources (University of Vermont, 2019)
  • Master's, Natural Resource Management (University of Pennsylvania, 2014)
  • B.S, Biology (Cornell University 2009)


Office Location:

308i Aiken Center