Christina M. Grozinger

BeeMonitor uses computer vision to automatically track solitary bees' foraging and nesting behavior, showing strong performance in detecting nest events and correlating foraging with environmental factors.

EcoMorph quantifies morphological traits from images using natural language prompts, achieving high accuracy across diverse ecological contexts and taxa.

The paper studies how cavity-nesting bees use forest nesting habitats and surrounding floral resources in a subtropical forest experiment, finding that bees rely on landscape flowers and planted trees provide seasonal pollen supplements.

The paper investigates parent-of-origin gene expression differences in honey bee caste determination, finding patrigenes favor queen fate and linking these to histone modifications.

The paper investigates how larval pheromones affect gene expression in honey bee foragers, showing distinct transcriptional responses related to nectar and pollen foraging.

The paper develops a novel pipeline for viral metagenomics in bees, identifying 127 novel viruses across multiple species and regions.