Daniel joined the Complex Microbial Systems Group at NIST in 2026 as a NIST-NRC Research Fellow. His research focuses on biosurveillance of environmental pathogens from an ecological perspective, complementing conventional approaches based on direct pathogen detection. He investigates how interactions between pathogens and indigenous microbial communities, along with physicochemical conditions, influence pathogen persistence and distribution. His work aims to develop data-driven frameworks that leverage microbiome information to characterize and anticipate pathogen behavior, with applications spanning natural and built environments.
Before joining NIST, Daniel studied microbial ecology in natural and engineered systems—including subsurface oil reservoirs, coastal marine environments, and wastewater treatment systems—to understand microbial interactions and develop biotechnological approaches for energy and environmental applications. His work focused on identifying microbial guilds capable of reducing low concentrations of nitrous oxide (N₂O), a byproduct of biological nitrogen removal processes. Following his Ph.D., he joined the University of California, Berkeley as a postdoctoral researcher, where he investigated the strain-sharing dynamics of pathogens and antimicrobial resistance (AMR) in communities with limited access to water, sanitation, and hygiene (WASH) infrastructure. His research provided scientific evidence to inform public health strategies aimed at reducing disease transmission and limiting the spread of antibiotic resistance.