
Infectious disease epidemiologist specializing in mathematical modeling, wastewater-based epidemiology, and global health surveillance systems. Currently working with Dr. David Larsen at Syracuse University, contributing to the New York State Wastewater Surveillance Network, where I develop statistical and mechanistic models integrating environmental viral signals with clinical surveillance data to improve outbreak detection and public health decision-making. My research combines epidemiological modeling, environmental surveillance, and computational data science to develop early-warning systems for infectious diseases. I am particularly interested in wastewater surveillance, zoonotic disease modeling, rural–urban disparities in infectious disease dynamics, and quantitative tools for global health preparedness.
My research aims to integrate environmental surveillance, infectious disease modeling, and public health decision science to improve detection and response to emerging infectious disease threats. Building on my work in Chagas disease transmission modeling and wastewater-based epidemiology, I seek to develop scalable analytical tools that strengthen surveillance systems and support evidence-based public health interventions.
Diligent postdoctoral research scientist with robust background in advanced research methodologies and scientific exploration. Contributed to significant breakthroughs in molecular biology and biochemical research. Demonstrated ability to collaborate effectively in multidisciplinary teams and adapt to evolving research challenges.