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Samuel Scarpino

Samuel Scarpino

Expertise:

  • applied mathematics, bioinformatics, computational biology, Genetics, integrative biology, machine learning, network modeling, population dynamics, Statistics

About Samuel Scarpino

The research in our group spans a broad range of topics in complex systems and network science, including: infectious diseases, forecasting and predictive modeling, disease genomics and transcriptomics, outbreak surveillance, and decision making under uncertainty.

Contact

Mailing Address:

177 (177 Huntington Ave.), Boston, MA 02115
Institutes, Labs & Research Centers
Emergent Epidemics Lab
Marine and Environmental Sciences
Physics
Biology
Mathematics
Network Science Program

Research in the Emergent Epidemics Lab spans a broad range of topics in complex systems and network science, with an emphasis on infectious disease dynamics and forecasting/predictive models.

Network Science Institute
Network Science Program
Physics

The NSI works to discover and inspire fundamentally new ways to measure, model, predict and visualize meaningful interactions and interconnectivity of social, physical and technological systems. Faculty include: Alessandro Vespignani, Albert-Laszlo Barabasi, Dima Krioukov, Samuel Scarpino.

Publications:

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