I'm an infectious disease modeler interested in statistical modeling, forecasting, real-time analysis and open source tool development. I am currently based in Sebastian Funk's EpiForecasts group at the London School of Hygiene and Tropical Medicine. I completed my PhD at the University of Texas at Austin in mathematical modeling in oncology. Prior to joining LSHTM, I worked on various aspects of infectious disease modeling at the UT COVID-19 Modeling Consortium, the Rockefeller Foundation's Pandemic Prevention Institute, and the CDC's Center for Forecasting and Outbreak Analytics.
Affiliations
Teaching
I plan to teach short courses in infectious disease modeling methods
Research
My main research interests are in developing methods and tools for nowcasting, forecasting, and real-time analysis of infectious diseases. In particular, I am interested in integrating non-traditional surveillance data streams, such as wastewater, into mechanistic, semi-mechanistic, and statistical modeling frameworks and evaluating the impact of both model design and input data sources on forecast performance. My interest in open source software development is driven by the desire to increase accessibility and reproducibility of these models for local health authorities and decision-makers, as well as to enable other researchers to extend these models and use them to answer novel scientific questions.