Our group is based within the Department of Epidemiology at Columbia University’s Mailman School of Public Health. We leverage health data, mathematical modeling, and Bayesian inference methods to address a range of questions related to both communicable and noncommunicable diseases. For communicable diseases, we have mainly worked on seasonal and pandemic influenza, measles, COVID-19, and Ebola. For noncommunicable diseases, we are working on multiple early onset cancers. Our recent projects include:
- Modeling and projections of COVID-19 in New York City.
- Modeling SARS-CoV-2 variants of concern / interest
- Measles transmission dynamics in recent years.
- Seasonality of respiratory infections, in particular, for influenza.
- Time-trends and risk factors for early onset cancers.
- Modeling and inference methods for epidemiological research.
For more details, please read about individual research projects.