Matteo Chinazzi is a Research Associate Professor at Northeastern University (Department of Physics), Roux Institute member, and Core Faculty at the Network Science Institute. He conducts research at the intersection between network science, data science, epidemiology, economics, and artificial intelligence. His research interests include: a) the development of computational and analytical models to study and forecast the spatial spread of infectious diseases; b) the development of agent-based models to create realistic representations of population dynamics; c) the study of human mobility and contact patterns using high-resolution large-scale de-identified location data; d) the development of computational frameworks that combine mechanistic epidemic models with machine learning/deep learning models; and e) the study of the evolution and structure of science and innovation.

Research areas

Biological and Health Systems

Understanding biological interdependencies by integrating networks in biological systems, network medicine, and epidemiology & public health.

Complex Systems Forecasting

Developing network-based models and tools for prediction of complex systems and to support effective decision-making.

Office location
Office location
177 Huntington Ave
New College of the Humanities
Devon House
58 St Katharine’s Way
London, E1W 1LP, UK
The Roux Institute
100 Fore St
Portland, ME 04101
Room
Desk
Boston, MA 02115
*Primarily remote
Portland, ME
Contact
Download CV
Personal website
@mattk7Google ScholarGithub

Publications

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