I am an Assistant Professor in the Department of Mathematics at Oklahoma State University, where I lead research at the interface of mathematics, biology, and data science. My work focuses on mathematical modeling and data-driven methods for understanding and forecasting infectious disease dynamics, with applications ranging from COVID-19 to dengue and influenza.

Recent projects include developing ensemble models for global dengue forecasting, integrating mobility and climate data into network-based epidemic models, and collaborating on interdisciplinary efforts to support real-time public health decision-making. I currently serve as a co-PI on NSF- and USDA-funded initiatives that use mathematical and statistical tools to study epidemic dynamics and pathogen surveillance.

Before joining OSU, I held research appointments at Boston Children’s Hospital / Harvard Medical School, the University of California San Diego, and Fundação Oswaldo Cruz (FIOCRUZ), where I worked on problems in epidemic forecasting, cell signaling, and spatial epidemiology.

I received my Ph.D. in Mathematics from the Instituto Nacional de Matemática Pura e Aplicada (IMPA), with a dissertation on dimensionality reduction and machine learning techniques applied to problems in neuroscience and epidemiology. My advisors were Dr. Roberto Imbuzeiro de Oliveira (IMPA) and Dr. J. Nathan Kutz (University of Washington).