I am a computational epidemiologist whose research is at the interface of infectious disease dynamics, statistical inference, and global health security. I have applied cutting-edges techniques from a vast array of complex systems science to a range of infectious diseases: arboviral (e.g. Zika, Dengue), respiratory (e.g., COVID-19, seasonal influenza/A H3N2), and sexually transmitted (e.g. HIV). During the 2016 Zika international public health emergency of concern and the 2020 COVID-19 pandemic, I’ve interacted with various government agencies, (e.g. Texas Department State Health Services, New Mexico Department of Health, and Centers for Disease Control and Prevention) to develop real-time decision-support models and software. As a Postdoctoral Research Associate at Los Alamos National Laboratory (LANL) within the Information Systems and Modeling Group, I am continuing to apply computational methods to data-driven infectious disease research questions surrounding the global migration patterns of cholera, the environmental drivers of seasonal dengue, and the spread of COVID-19.