Research team
Expertise
I have extensive expertise in theoretical and mathematical modeling, data analysis, and interdisciplinary collaboration applied to infectious disease ecology. My work integrates spatio-temporal modeling, stochastic processes, and quantitative simulations to understand the dynamics of pathogen emergence, host-pathogen interactions, and the effects of environmental and anthropogenic changes. I combine mathematical and statistical approaches with ecological, epidemiological, and social science perspectives, enabling the analysis of complex systems where human behavior, cultural practices, and ecological factors interact. I am skilled in developing mechanistic models that capture multi-host dynamics, spillover events, and the amplification or dilution effects of different species on disease spread. I have experience integrating cognitive and behavioral aspects into epidemiological models, accounting for how individual and collective decision-making influences pathogen transmission. My approach emphasizes the combination of quantitative rigor with interdisciplinary insights, allowing for the design of predictive frameworks that consider ecological, evolutionary, and social dimensions. I am proficient in implementing computationally efficient simulations, including stochastic modeling and spatio-temporal analyses, and in applying these tools to diverse datasets ranging from field-collected ecological data to environmental and demographic information. I have a strong track record of collaborating across disciplines, bridging anthropology, evolution, ecology, and mathematics to address questions in disease ecology and public health. My expertise lies in developing integrative models and data-driven analyses that inform effective and context-specific strategies for understanding and mitigating emerging infectious diseases.