om - research

I employ computer vision, agent-based modeling, network science, and machine learning to study animal behavior and ecology. I recently obtained my Ph.D in Computer Science from the University of Colorado Boulder, and I now work as a Research Scientist with the University of Wyoming's School of Computing. I wear many hats: data scientist, software engineer, ecologist, birder, wildlife biologist, physicist, and avid learner. At WyldTech, I primarily study ungulate and bird behavior with computer vision and bioacoustics. My Ph.D research focus was the signaling behavior of bioluminescent Lampyridae beetles, commonly known as fireflies.

WyldTech research projects

WyldTech pronghorn census snapshot

Landscape scale pronghorn aerial surveys

Automated camera-based counts and movement tracking of pronghorn across Wyoming to estimate population trends and migration corridors using computer vision and spatiotemporal models.

Below are snapshots and links from my published and ongoing Ph.D projects. If you are looking for my Ph.D dissertation, you can find it here!

published

media

ongoing

Snapshot of Colorado firefly study

Behavioral Phenology of Photuris and Pyractomena fireflies along the Front Range

Synchronization dynamics experiments

Excitation–inhibition interactions mediate firefly flash synchronization

Snapshot of individual variability and network analysis

Individual variability within synchronous collectives