Our group is based within the Department of Epidemiology at Columbia University’s Mailman School of Public Health.  We mainly apply 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. Measles transmission dynamics in recent years.
  3. Modeling and inference methods for infectious diseases.
  4. Seasonality of respiratory infections, in particular, for influenza.
  5. Time-trends and risk factors for early onset cancers.

For model details, please read about individual research projects.

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

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