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:

  1. Modeling and projections of COVID-19 in New York City
  2. Modeling SARS-CoV-2 variants of concern / interest
  3. Measles transmission dynamics in recent years
  4. Seasonality of respiratory infections, in particular, for influenza and SARS-CoV-2/COVID-19
  5. Infectious disease forecast
  6. Time-trends and risk factors for early-onset cancers
  7. Modeling and inference methods for epidemiological research

For more details, please read about individual research projects.

Prospective students and researchers interested in joining our group should check on Openings.

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