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Michele Tizzani, PhD
Computational Social Scientist — Network Science · Computational Epidemiology
Copenhagen, Denmark · micti@dtu.dk · ORCID 0000-0003-3068-5111 · micheletizzani.github.io
Curriculum Vitae
General Information
Full Name: Michele Tizzani, PhD
Role: Computational Social Scientist — Network Science, Computational Epidemiology
Based in: Copenhagen, Denmark (DTU Compute)
Citizenship: Italian (full EU work eligibility)
Languages: Italian (native), English (professional)
ORCID: 0000-0003-3068-5111
Research Interests
Complex systems & network science
- Temporal networks
- Higher-order interactions & hypergraphs
- Dynamical processes, memory & ageing effects
- Phase transitions & critical phenomena
Computational social science
- Digital-trace analysis
- Misinformation & information diffusion
- Online–offline behavioural coupling
- Human–AI interaction at population scale
Computational epidemiology
- Social contact patterns & mixing matrices
- Non-pharmaceutical interventions
- Behavioural epidemiology
- Vaccine hesitancy & digital surveillance
Register-based population science
- Residential mobility & urban restructuring
- Socioeconomic determinants of health
- Health inequality
- Causal inference with administrative data
Methods
- Causal inference & natural experiments
- NLP & multilingual text analysis
- ML for behavioural sequences
- Geospatial analysis & survey design
Education
2019
PhD, Physics of Complex Systems
University of Parma, Italy
- Thesis: Dynamical processes and memory effects on temporal networks.
- Supervisor: Prof. Raffaella Burioni.
2015
MSc, Theoretical Physics
University of Rome Tor Vergata, Italy
- Grade 110/110.
2012
BSc, Physics
University of Rome Tor Vergata, Italy
2018
Pedagogical Training Certificate (24 ECTS)
Italy — qualification for secondary-level teaching
Research Positions
2025–present
Postdoctoral Researcher — DTU Compute
Technical University of Denmark, Cognitive Systems group (Prof. Sune Lehmann)
- Register-based computational social science on Danish national data via Statistics Denmark.
- Built pipelines processing 1.2M individual-level residential moves at H3-9 resolution; renormalisation-group spectral analysis of Copenhagen mobility networks; validated urban-trajectory typology.
- Villum Synergy project "Nation-Scale Social Networks" (DKK 19.7M).
2019–2024
Postdoctoral Researcher / Research Scientist — ISI Foundation
Turin, Italy
- Led work-package analyses in EU Horizon 2020 consortia (EpiPose, VERDI).
- Built and operated population-scale digital-trace pipelines across Twitter/X, Wikipedia, news and YouTube.
- Evidence delivered to public-health stakeholders including ECDC and WHO.
2013
Research Intern — LATP
Aix-Marseille Université, France
- Mathematical and theoretical methods.
Selected Projects & Consortia
2022–2025
VERDI — Horizon 2020 (EUR 3.0M), Work-package lead
Multilingual analysis of vaccine misinformation across 21 languages and European social-media networks.
2020–2022
EpiPose — Horizon 2020 (EUR 3.0M), Work-package lead
Italy-focused contact-matrix analysis of tiered COVID-19 restrictions (with LSHTM & CoMix Europe).
2025–2026
Nation-Scale Social Networks — Villum Synergy (DKK 19.7M), Team member
Register-derived nation-scale temporal multiplex social network infrastructure (DTU, PI Prof. Sune Lehmann).
2024
AccelNet-MultiNet Fellowship — NSF-supported exchange award
International mobility award in multilayer network science (US–Europe network).
Supervision & Mentoring
2020–2023
Postgraduate Research Scholars — Lagrange Fellowship (7 scholars)
ISI Foundation, Turin — data science for social good
- Co-supervised seven scholars across climate communication, health equity, food security, vaccine hesitancy and misinformation.
- All scholars published in international peer-reviewed journals.
2022
MSc Thesis Co-Supervision — Vaccine Hesitancy in Italy
University of Turin — published; student entered a research position
2020
MSc Thesis Co-Supervision — Digital Surveillance of ILI & COVID-19 with Twitter
University of Turin — published; student entered a PhD programme
Supervision Capacity
Available to supervise PhD & MSc in
- Network dynamics & behavioural cascades
- Computational social science
- Causal inference in complex systems
- Applied complexity in health, climate & social domains
Track record
- Nine researchers supervised or co-supervised to date
- All published their work
- Mentees progressed to PhD programmes, academic posts, the OECD and international NGOs
Collaborations
ISI Foundation / CENTAI, Turin
- Computational epidemiology & social science
- Digital traces, misinformation, public-health behaviour
BIFI, Universidad de Zaragoza
- Prof. Yamir Moreno & Dr. Guilherme Ferraz de Arruda
- Higher-order network dynamics & hypergraphs
LSHTM, London
- Prof. W. J. Edmunds and colleagues
- Contact matrices & NPIs in Europe (CoMix)
DTU Compute / SODAS, Copenhagen
- Prof. Sune Lehmann
- Register-based Danish health & social research
Teaching
2023
Lecturer — Analysis and Visualization of Complex Networks (9 ECTS)
MSc Computer Science, University of Turin — 25 graduate students, taught in English
- Designed and delivered a full postgraduate module from scratch (~70% theory, ~30% labs & capstone).
- Python/NetworkX labs on real social-media and public network data.
- Several students went on to PhD programmes and research posts (incl. SODAS, University of Copenhagen).
2017–2018
Teaching & Laboratory Assistant — Physics for Biotechnology
University of Parma, Italy
2018
Mathematics & Physics Teacher
Convitto Maria Luigia, Parma, Italy
Scientific Service
Editorial
- Guest Editor — Data & Policy (Cambridge University Press), special collection (2023)
Peer review
- Nature Communications, Scientific Reports, PLOS ONE
- Journal of Medical Internet Research, EPJ Data Science
- Complexity, The Web Conference, NLP4IF
Programme committees
- ICWSM 2026, NetSci 2025, NetSciX 2024
- Complex Networks 2023/2024, CCS, WWW WikiWorkshop 2023–2025
- CS2Italy 2026, CS2Nordics 2026, WebSci 2025, DPH 2025, WWW 2026
Learned societies & chairing
- Council Member — Complex Systems Society
- Session Chair — CCS 2025
Invited Talks & Outreach
Invited talks & seminars
- CODE Project Final Workshop — CREF, Rome (2026)
- NERDS group seminar — IT University of Copenhagen (2026)
Selected presentations
- Highlighted talk — CS2Italy 2026
- Speaker — IC2S2 2023, Copenhagen; NetSci 2018, Paris
Workshop organisation & outreach
- ECOSOCEPI (2024); D3A (2025) — Organiser
- Data Beers Copenhagen (2026) — Organising committee
- Researchers' Night, University of Parma
Technical Skills
Programming
- Python (primary), R, C++, Bash, Git
- pandas, NumPy, SciPy, scikit-learn, PySpark, geopandas
- NetworkX, igraph; custom temporal & higher-order network code
Methods
- Temporal, multilayer & higher-order networks; spectral & RG methods
- Epidemic models on networks (SIR/SEIR), diffusion & spreading
- Causal inference — DiD, event studies, IPW, sensitivity analysis
- NLP, representation learning, survey design (CAWI)
Data infrastructure
- Statistics Denmark secure environment (Forskerordningen); Danish registers (CPR, IDA, health)
- APIs — Twitter/X, YouTube, Wikipedia, GDELT, Google Trends
- HPC; GDPR & privacy-preserving design; reproducible pipelines