Quantitative Ecologist at the Biodiversity Research Institute — building computational tools for ecology, remote sensing, and conservation.
My research combines remote sensing, statistical modeling, and field ecology to understand how animals move through and respond to changing environments. My work takes me from Antarctica to East Africa to the Northwest Atlantic. I build quantitative frameworks that link environmental drivers to species distributions, movements, and demographics — ultimately to inform conservation and management.
I work across taxa, ecosystems, and methodological traditions:
- Animal movement ecology & bio-logging (GPS, Motus, satellite telemetry)
- Species distribution modeling & population ecology
- Bayesian spatial analysis & multispecies occupancy modeling
- Remote sensing for habitat characterization & environmental monitoring
- Antarctic ecology & sea ice–penguin dynamics
- Bioacoustics & automated acoustic monitoring of Antarctic taxa
- Collision risk modeling for offshore wind energy
- Machine learning for image classification & automated detection
- Biodiversity monitoring & conservation planning
- Species distribution modeling & population ecology
- Animal movement ecology & automated tracking networks (Motus)
- Machine learning for remote sensing & image classification
- Antarctic sea ice dynamics & penguin populations
- Collision risk modeling for offshore wind energy
- Biodiversity monitoring & multispecies occupancy modeling
PhD Ecology & Evolution — Stony Brook University (Lynch Lab for Quantitative Ecology)
MA Remote Sensing & GIS — University of Minnesota
Field Credentials
- FAA Certified UAS Pilot
- Wilderness First Responder (NOLS/WMI)
- STCW Certified (International Maritime Organization)
- Leave No Trace Certified Instructor
- CPR / AED / Epinephrine Auto-injector