Talks and Posters

Death Valley, California - May 2022

Conference presentations

Improving adverse drug event prediction using biochemical features extracted with ChemBERTa

16th International Conference of the ERCIM WG on Computational and Methodological Statistics. Berlin, 2023 (invited talk).

Assessing the effectiveness of a existing frailty indicator for identifying vulnerable elderly individuals during the COVID-19 pandemic

34th REVES (Réseau Espérance de Vie et Santé) meeting. Padua, 2023 (talk).

Validation of a frailty indicator during the COVID-19 pandemic

Population days, Meeting of the Italian Association for Population Studies. Rome, 2023 (talk).

Identification of neighbourhood clusters on data balanced by a poset-based approach

StatisticAll, Italian festival of statistics and demography. Treviso, 2022 (talk).

Not only pharmacovigilance data: the use of biochemical features in drug adverse events prediction

Statistical methods and models for complex data. Padua, 2022 (poster).

Fake news spreading and sentiment of Italians during the first COVID-19 lockdown

CNDSS 2021. Naples, 2021 (talk).

Impact of lockdown on the everyday life of Italians: some evidence from a sentiment analysis

XLIV AIE Congress – Epidemiology for Epidemic. Online, 2020 (poster).

Fecal microbiota, Vitamin D, serum biomarkers of inflammation and diet: a complex interactive network influencing colorectal cancer risk and prognosis

Royal Statistical Society International Conference. Belfast, 2019 (poster).

Extraction of cancer information from pathology clinical records using text mining

International Conference on Data Science and Social Research. Milan, 2019 (talk).

Seminars

Disproportionality analysis: statistical methods for pharmacosurveillance

Specialist lecture during the class of Advanced Medical Statistics and Epidemiology (MSc), University of Padua, a.y. 2020/2021, 2021/2022 and 2022/2023.

Extraction of tumor stage thought text mining of pathology records

Specialist lecture during the class of Statistical Methods for Epidemiology (BSc), University of Padua, a.y. 2018/2019 and 2019/2020.