Matteo Chinazzi
Scholar

Matteo Chinazzi

Google Scholar ID: d1URvWUAAAAJ
Research Associate Professor, Northeastern University
Complex SystemsComputational EpidemiologyNetwork ScienceData ScienceEconomics
Citations & Impact
All-time
Citations
9,928
 
H-index
34
 
i10-index
53
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Research Experience
  • Research Associate Professor at Northeastern University, Roux Institute member, and Core Faculty at the Network Science Institute. My most recent work focuses on developing large-scale, data-driven computational models to study and forecast the spatial spread of infectious diseases while considering the impact of changes in human behavior (e.g. mobility, contact patterns, vaccine hesitancy, ..) and policy interventions.
Background
  • 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.
Co-authors
0 total
Co-authors: 0 (list not available)