cv

Essential CV.

Basics

Name Michele Tizzani
Label Scientist
Email micheletizzani@yahoo.it
Summary Physicist interested in complex system, with a focus on socal science, epidemics and infodemics.

Work

  • 2025.01 - 2027.01
    Postdoc researcher
    Technical University of Denmark
    Research human behavior and residential mobilty usnig registry data.
    • Complex Systems
    • Epidemics
    • Computational Social Science
    • Infodemics
    • Network Science
  • 2019.05 - 2025.01
    Postdoc researcher
    ISI FOundation
    Research on epidemics and human behavior using non-conventional data.
    • Complex Systems
    • Epidemics
    • Computational Social Science
    • Infodemics
    • Network Science

Education

  • Roma, Italy

    BS
    University of Roma Tor Vergata, Italy
    Theoretical Physics
  • Roma, Italy

    MS
    University of Roma Tor Vergata, Italy
    Theoretical Physics
  • Parma, Italy

    PhD
    University of Parma, Italy
    Physics

Publications

Skills

Physics
Physics
Modeling
Statistical Analysis
Natural Language Processing

Languages

Italian
Native speaker
English
Fluent

Interests

Physics
Complex Systems
Computational Social Science
Epidemics
Agent Based Models
Higher order networks

Theaching

Projects

  • 2018.01 - 2018.01
    EPIDEMIOLOGY
    The following are the scientific outputs describing the employment of both traditional and non-traditional data sources to inform statistical and computational models for analyzing the effect of human behavior and policy on epidemic spreading.
    • Epidemics
    • Survey
    • COntact matrices
  • 2018.01 - 2018.01
    NETWORK SCIENCE
    The following scientific outputs underline my interest in exploring the theoretical implications of network models on dynamical systems. Particularly, I focused on analyzing how epidemics evolve on temporal networks and how diffusion processes spread on hypergraphs. The following works reflect this effort.
    • Hypergraph
    • Temporal Networks
  • 2018.01 - 2018.01
    COMPUTATIONAL SOCIAL SCIENCE and DATA FOR SOCIAL GOOD
    The following scientific outputs shows the involvement in using large database to infer behavior from social networks. The primary focus encompassed public health, and additionally food insecurity driven by conflicts.
    • Big Data
    • No-traditional data sources