Sen Pei

Sen Pei

Sen Pei

Assistant Professor
Environmental Health Sciences

Office/Address:

722 West 168th Street, Room 1104A
New York NY 10032
Website address: Email: Twitter:

Biography

Sen Pei is an Assistant Professor in the Department of Environmental Health Sciences at Mailman School of Public Health, Columbia University. With a background in applied mathematics, network science, and complex systems, he studies the effects of environmental, social, and ecological conditions on infectious diseases using a variety of data sources, including surveillance data, human mobility, climate data, and electronic health records. He develops mathematical models and computational tools to advance surveillance, forecasting, and control of both seasonal and emerging infectious agents. His recent studies focus on respiratory viruses such as influenza and COVID-19 and antimicrobial-resistant pathogens in healthcare systems.

Topics

Education

PhD, 2015, Beihang University & City College of New York
BS, 2010, Beihang University

Mailman Affiliations

Faculty, Department of Environmental Health Sciences
Faculty, Climate and Health Program
Faculty, Columbia Center for Environmental Health in Northern Manhattan

Areas of Expertise

Bayesian Methods, Epidemics, Infectious Disease

Select Publications

Pei, S., Yamana, T., Kandula, S., Galanti, M., Shaman, J. Burden and characteristics of COVID-19 in the United States during 2020. Nature 598, 338-341 (2021).
Pei, S., Liljeros, F., Shaman, J. Identifying asymptomatic spreaders of antimicrobial resistant pathogens in hospital settings. Proceedings of the National Academy of Sciences of the United States of America 118, e2111190118 (2021).
Ma, Y., Pei, S., Shaman, J., Dubrow, R., Chen, K. Role of meteorological factors in the transmission of SARS-CoV-2 in the United States. Nature Communications 12, 3602 (2021).
Pei, S., Teng, X., Lewis, P., Shaman, J. Optimizing respiratory virus surveillance networks using uncertainty propagation. Nature Communications 12, 222 (2021).
Xu, X.-K.*, Wang, L.*, Pei, S.* Multiscale mobility explains differential associations between the gross domestic product and COVID-19 transmission in Chinese cities. Journal of Travel Medicine 28, taaa236 (2021). (* Equal contribution)
Pei, S., Kandula, S., Shaman, J. Differential effects of intervention timing on COVID-19 spread in the United States. Science Advances 6, eabd6370 (2020).
Zhou, B.*, Pei, S.*, Muchnik, L., Meng, X., Xu, X., Sela, A., Havlin, S., Stanley, H. E. Realistic modelling of information spread using peer-to-peer diffusion patterns. Nature Human Behaviour, 4, 1198-1207 (2020). (* Equal contribution)
Li, R.*, Pei, S.*, Chen, B.*, Song, Y., Zhang, T., Yang, W., Shaman, J. Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2). Science 368, 489-493 (2020). (* Equal contribution)
Pei, S., Morone, F., Liljeros, F., Makse, H. A., Shaman, J. Inference and control of the nosocomial transmission of Methicillin-resistant Staphylococcus aureus. eLife 7, e40977 (2018).
Pei, S., Kandula, S., Yang, W., Shaman, J. Forecasting the spatial transmission of influenza in the United States. Proceedings of the National Academy of Sciences of the United States of America 115, 2752-2757 (2018).

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