Research interests
I am a postdoctoral researcher in the Predictive Community Ecology (PredCom) group. I recently completed my PhD in Statistics at Duke University, where I developed Bayesian methodology for network and relational data across a range of applications—from missing-link imputation in ecological meta-networks, to scalable modeling of dynamic networks, to dose–response modeling in gene–chemical interaction networks. My current work focuses on statistical and machine-learning approaches for passive acoustic monitoring, especially simultaneous sound source localization and classification of bird and bat vocalizations. More broadly, I build Bayesian models for ecological and environmental data, including interaction networks and joint species distribution modeling, with an emphasis on methods that support biodiversity monitoring and inference at scale.
