Giulia CEREDA

Ruolo attuale:: Professore Associato
SSD:: STAT-01/A - Statistica
Afferenza organizzativa:: Dipartimento di Statistica, Informatica, Applicazioni 'G. Parenti' (DiSIA)

Recapiti

	0552751525
	giulia.cereda(AT)unifi.it

Avvisi

Lezione di Statistica Industriale

Come da avviso moodle segnalo che i oggi 4/11 dalle 14 alle 16 si terrà la lezione di Statistica in aula 003.

Prossimi incontri di Statistica

Prossimi incontri di Statistica Industriale: Sono annullate le lezioni di Giovedi 5 e Venerdì 6 Novembre, si riprende regolarmente a partire da Giovedi 12. Cordiali Saluti

Giulia CEREDA

Orario di ricevimento (aggiornato al 12/09/2022)

Giovedi' ore 15:00-16:00

E' necessario inviare una mail per fissare un appuntamento.

Giulia CEREDA

Curriculum

Esperienze Lavorative

2025 - present: Professore Associato (PA)

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, University of Florence

2022 - 2024: Ricercatore a tempo determinato di tipo B (RTD-b)

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, University of Florence

2021 - 2022: Assegnista di ricerca

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, University of Florence

2019 - 2021: Post doc Mobility fellowship,Swiss National Science Foundation (SNSF)

Leiden University and University of Florence

2016 - 2019: Specialista di Metodi Scientifici

Ufficio Federale di Statistica (Neuchatel, CH)

Formazione

2011 - 2016: Dottorato congiunto in Statistica

Mathematical Institute, Leiden University and School of Criminal Justice, University of Lausanne

2011: Laurea Magistrale in Mathematica

Dipartimento di MAtematica "G. Enriquez", Università degli Studi di Milano

2009: Laurea Triennale in Mathematica

Dipartimento di MAtematica "G. Enriquez", Università degli Studi di Milano

Interessi di Ricerca

Statistica Forense, Statistica Medica, Machine Learning

Giulia CEREDA

Pubblicazioni

Legenda

Contributo su rivista |

Articolo su libro |

Libro |

Contributo in atti di convegno (proceeding) |

Brevetto |

Curatela | Altro

Altro |

Tesi di Dottorato

Grazzini, Cosimo; Morelli, Stefania; Castellana, Daniele; Pilli, Elena; Cereda, Giulia; Lusa, Lara (2026). Lessons Learned from Predictive Modeling of Biogeographical Ancestry: Why Initial Data Analysis Matters?. In: SIS 2026, Francesca Martella; Serena Arima; Maria Francesca Marino; Cristina Mollica, pp. 451-457, ISBN:9783032308801 DOI

Grazzini, Cosimo; Spera, Giorgia; Castellana, Daniele; Morelli, Stefania; Pilli, Elena; Baccini, Michela; Cereda, Giulia (2025). Biogeographical Ancestry Prediction via an Innovative Panel: Difficult Task or Complex Phenomenon?. In: Scientific Meeting of the Italian Statistical Society, Enrico di Bella; Vincenzo Gioia; Corrado Lagazio; Susanna Zaccarin, pp. 363-368, ISBN:9783031959943 DOI

Baccini, Michela; Pirona, Federico; Grisotto, Laura; Cereda, Giulia; Lachi, Alessio; Levi, Miriam; Carreras, Giulia (2025). Tracheal, bronchus, and lung cancer mortality and air pollution exposure in Tuscany, Italy: Bayesian Health Impact Assessment and Global Sensitivity Analysis on a sub-regional scale. ENVIRONMENTAL POLLUTION, vol. 368, pp. 0-0, ISSN:0269-7491 DOI

Grazzini, Cosimo; Spera, Giorgia; Morelli, Stefania; Castellana, Daniele; Cosenza, Giulia; Baccini, Michela; Cereda, Giulia; Pilli, Elena (2025). Predictive modeling of biogeographical ancestry using a novel SNP panel and supervised learning approaches. EXPERT SYSTEMS WITH APPLICATIONS, pp. 0-0, ISSN:0957-4174 DOI

Alessio Lachi, Cecilia Viscardi, Giulia Cereda, Giulia Carreras, Michela Baccini (2024). A compartmental model for smoking dynamics in Italy: a pipeline for inference, validation, and forecasting under hypothetical scenarios. BMC MEDICAL RESEARCH METHODOLOGY, vol. 24, pp. 0-0, ISSN:1471-2288 DOI

Giulia Cereda; Fabio Corradi; Cecilia Viscardi (2023). Learning the two parameters of the Poisson–Dirichlet distribution with a forensic application. SCANDINAVIAN JOURNAL OF STATISTICS, vol. 50, pp. 120-141, ISSN:0303-6898 DOI

Marra, Michele; Baccini, Michela; Cereda, Giulia; Culasso, Martina; De Sario, Manuela; Eboli, Ilenia; Lachi, Alessio; Mitrova, Zuzana; Saulle, Rosella; Bena, Antonella (2023). [School-based screening strategies to prevent the spread of COVID-19 in school: a systematic review of the literature]. EPIDEMIOLOGIA E PREVENZIONE, vol. 47, pp. 152-171, ISSN:1120-9763 DOI

Giulia Cereda; Fabio Corradi; Cecilia Viscardi (2023). Comparing Soft Classification Methods for the Rare Type Match Problem. In: 14th Scientific Meeting of the Classification and Data Analysis Group, Pearson, pp. 378-381, ISBN:9788891935632

Levi, Miriam; Cereda, Giulia; Cipriani, Francesco; Voller, Fabio; Baccini, Michela (2023). Case-Control Study on the Routes of Transmission of SARS-CoV-2 after the Third Pandemic Wave in Tuscany, Central Italy. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 20, pp. 0-0, ISSN:1660-4601 DOI

Giulia Cereda, Fabio Corradi, Cecilia Viscardi (2022). Exploiting partial knowledge to evaluate the average causal effect via an ABC perspective. In: SIS2022 - 51st Scientific Meeting of the Italian Statistical Society, Pearson, pp. 914-919, ISBN:9788891932310

Cereda, Giulia ; Viscardi, Cecilia ; Baccini, Michela (2022). Combining and comparing regional SARS-CoV-2 epidemic dynamics in Italy: Bayesian meta-analysis of compartmental models and global sensitivity analysis. FRONTIERS IN PUBLIC HEALTH, vol. 10, pp. 0-0, ISSN:2296-2565 DOI Accesso ONLINE all'editore

Baccini M.; Cereda G.; Viscardi C. (2021). The first wave of the SARS-CoV-2 epidemic in Tuscany (Italy): A SI2R2D compartmental model with uncertainty evaluation. PLOS ONE, vol. 16, pp. 0-0, ISSN:1932-6203 DOI

Baccini M.; Cereda G. (2021). Screening plans for SARS-CoV-2 based on sampling and rotation: An example in a European school setting. PLOS ONE, vol. 16, pp. 0-0, ISSN:1932-6203 DOI

Michela Baccini, Giulia Cereda (2021). The second wave of SARS-CoV-2 epidemic in Italy through a SIRD model. In: SIS 2021, Pearson, pp. 1718-1723, ISBN:9788891927361

Cereda, G. ; Gill, R. D. (2020). A nonparametric Bayesian approach to the rare type match problem. ENTROPY, vol. 22, pp. 0-0, ISSN:1099-4300 DOI

Giulia Cereda; Cecilia Viscardi; Anna Gottard; Fabrizia Mealli; Michela Baccini (2020). Analisi e previsioni dell’epidemia da SARS-CoV-2 in Toscana / Analysis and future scenarios of the SARS-CoV-2 epidemic in Tuscany Region (Central Italy). EPIDEMIOLOGIA E PREVENZIONE, vol. 44, pp. 120-127, ISSN:1120-9763 DOI

Giulia Cereda; Fabio Corradi (2020). A change of glasses strategy to solve the rare type match problem. In: 50th Meeting of the Italian Statistical Society, Pisa, June 2020, Pearson, pp. 614-619, ISBN:9788891910776

Cereda G.; Gill R.D.; Taroni F. (2018). A solution for the rare type match problem when using the DIP-STR marker system. FORENSIC SCIENCE INTERNATIONAL: GENETICS, vol. 34, pp. 88-96, ISSN:1872-4973 DOI

Cereda,G. (2017). Current challenges in statistical DNA evidence evaluation. (Tutor: Richard D. Gill, Franco Taroni)

Cereda G. (2017). Bayesian approach to LR assessment in case of rare type match. STATISTICA NEERLANDICA, vol. 71, pp. 141-164, ISSN:0039-0402 DOI

Cereda G. (2017). Impact of Model Choice on LR Assessment in Case of Rare Haplotype Match (Frequentist Approach). SCANDINAVIAN JOURNAL OF STATISTICS, vol. 44, pp. 230-248, ISSN:0303-6898 DOI

Cereda, G; Biedermann, A ; Hall, D; Taroni, F (2014). Object-oriented Bayesian networks for evaluating DIP-STR profiling results from unbalanced DNA mixtures. FORENSIC SCIENCE INTERNATIONAL: GENETICS, vol. 8, pp. 159-169, ISSN:1872-4973 DOI

Cereda G.; Biedermann A.; Hall D.; Taroni F. (2014). An investigation of the potential of DIP-STR markers for DNA mixture analyses. FORENSIC SCIENCE INTERNATIONAL: GENETICS, vol. 11, pp. 229-240, ISSN:1872-4973 DOI

Giulia CEREDA

Curriculum

Work Experience

2025 - present: Assciate Professor (PA)

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, University of Florence

2022 - 2024: Assistant Professor (RTD-b)

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, University of Florence

2021 - 2022: Post-doctoral Fellow (Assegnista di ricerca)

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, University of Florence

2019 - 2021: Post doc Mobility fellowship,Swiss National Science Foundation (SNSF) grant

Leiden University and University of Florence

2016 - 2019: Specialist of Statistical Methods

Swiss Federal Statistical Office (Neuchatel, CH)

Education

2011 - 2016: Joint Phd in Applied Statistics

Mathematical Institute, Leiden University and School of Criminal Justice, University of Lausanne

2011: MsC Mathematics

Dipartimento di MAtematica "G. Enriquez", Università degli Studi di Milano

2009: BsC Mathematics

Dipartimento di MAtematica "G. Enriquez", Università degli Studi di Milano

Research interests

Forensic Statistics, Medical Statistics, Machine Learning