About Me

I am an Assistant Professor in Department of Environmental Health Sciences at Mailman School of Public Health, Columbia University. I study transmission dynamics of infectious diseases. Within this broad topic, I develop mathematical models and computational tools to advance surveillance, forecasting, and control of both seasonal and emerging infectious agents. Using dynamical and statistical modeling techniques, I work to better understand the environmental, social, and ecological drivers of disease transmission. My recent studies focus on the spatial spread of influenza, dengue, and COVID-19, as well as the transmission of antimicrobial-resistant pathogens in healthcare systems.

Latest News

  • 09/22/2021 New study quantifying the impact of COVID-19 non-pharmaceutical interventions on influenza transmission in the United States is published online in The Journal of Infectious Diseases.
  • 09/09/2021 Our study on MRSA transmission is highlighted by Nature's Research Highlight.
  • 09/07/2021 We developed a computational method to identify asymptomatic spreaders of antimicrobial-resistant pathogens in hospital settings and applied it to a network of healthcare facilities in Sweden. Check out the paper published in PNAS.
  • 09/07/2021 Our paper on the burden and characteristics of COVID-19 in the US is highlighted in the NIH Director's Blog.
  • 08/26/2021 Our study on the overall burden and characteristics of COVID-19 in the United States during 2020 is published online in Nature.
  • 06/14/2021 Our collaborative study with colleagues at Yale on the role of meteorological factors in the transmission of SARS-CoV-2 is published in Nature Communications.
  • 04/01/2021 I will join the Department of Environmental Health Sciences at Mailman School of Public Health, Columbia University as a tenure-track assistant professor in fall 2021.
  • 02/09/2021 Our early work on undetected infections of SARS-CoV-2 is selected as one of the seven finalists of the AAAS Newcomb Cleveland Prize.
  • 01/29/2021 Our letter to editor "Social distancing remains key during vaccinations" is published online in Science.
  • 01/11/2021 New paper out in Nature Communications. Lack of a widespread surveillance network hampers accurate infectious disease forecasting. Here we provide a framework to optimize the selection of surveillance site locations and show that accurate forecasting of respiratory diseases for locations without surveillance is feasible.
  • 01/04/2021 Our paper "Multiscale mobility explains differential associations between the gross domestic product and COVID-19 transmission in Chinese cities" is published in Journal of Travel Medicine. In this letter, we find a Simpson’s paradox in the association between GDP and COVID-19 transmission in Chinese cities stratified by location. The differential associations in cities within and outside Hubei province can be explained by different patterns of short-range and long-range multiscale mobility from Wuhan to other cities.
  • 11/06/2020 Our study exploring the effect of non-pharmaceutical intervention on COVID-19 transmission in the US appears in Science Advances.
  • 08/28/2020 Our work on information diffusion "Realistic modelling of information spread using peer-to-peer diffusion patterns" is published online in Nature Human Behaviour. In this work, we develop a more realistic information cascade model that reproduces key structures of real-world diffusion trees in distinct social platforms by combining a peer-to-peer diffusion pattern with a correction for observational bias.
  • 04/23/2020 Together with colleagues at Mailman, we have developed three online tools to allow users to visualze the updated weekly projections of new COVID-19 cases, new infections, and available critical care beds in states and counties across the United States under a variety of social distancing and hospital response scenarios over a six-week period: (1) a data visualization tool that graph projections over time, (2) a mapping tool that charts county-level projections, and (3) animated maps.
  • 03/20/2020 The New York Times publishes an article "Without Urgent Action, Coronavirus Could Overwhelm U.S., Estimates Say" reporting our model projections of the COVID-19 outbreak in the US. Our results indicate that stringent control measures are required to reduce massive infections and flatten the epidemic curve.
  • 03/16/2020 Our research on the transmission dynamics of COVID-19 reveals that substantial undocumented infection fuels rapid spread of coronavirus in China. This study is published online in Science on March 16.