“Dynamic prediction with numerous longitudinal covariates made easy: the R package pencal”. 18th International Conference on Computational and Methodological Statistics (CMStatistics2024), London, Dec. 2024
“Statistical methods for the dynamic prediction of survival in settings with numerous longitudinal predictors”. Department of Statistics, University of Padova (IT), Apr. 2024
“Model-based clustering for populations of networks”. Department of Economics, Business and Statistics, University of Palermo (IT), Mar. 2023
“Pencal: a method to predict survival from longitudinal and high-dimensional (omic) data”. 13th Conference of the Italian region of the International Biometric Society, Sep. 2021.
“How to predict a survival outcome using longitudinal and
high-dimensional omics data”. Young
Statistician Showcase of the 30th International Biometric
Conference, Aug. 2020. Recording
of the talk.
I was invited to give this presentation at
IBC2020’s Young Statistician Showcase after winning the Young Statistician Award of the International
Biometric Society with a short article that briefly illustrated the
Penalized Regression Calibration method.
“Predicting time to loss of ambulation for Duchenne patients using longitudinal, high-dimensional omic data”. Symposium on methods for the analysis of complex and multiomics data, VUMC, Amsterdam (NL), Sep. 2019.
“Inferring community-driven structure in complex networks”. 49th
Scientific meeting of the Italian Statistical Society, Palermo (IT),
June 2018.
I was invited to give this presentation at
the Scientific meeting of the Italian Statistical Society (SIS) after
winning the Best PhD Thesis Award from SIS in
the category Applied Statistics.
“Variable selection for (realistic) stochastic blockmodels”. SIS2017 conference on “Statistics and Data Science: New Challenges, New Generations”, Florence (IT), June 2017.
“Comparing community structures in complex networks”. Department of Computer Science, University of Sheffield (UK), Feb. 2017.
“Comparing community structures in complex networks”. University of Manchester (UK), Feb. 2017.
“Reconstructing collaborations between political parties from bill cosponsorship networks”. 1st meeting of the European Cooperation for Statistics of Network Data Science, Ribno (SL), September 2016.
“Modelling community structure in the Italian Parliament: a penalized inference approach”. Workshop on “Network Science and its applications”, Isaac Newton Institute, Cambridge (UK), August 2016.
“Dynamic prediction with numerous longitudinal predictors: how to combine the best of both worlds (landmarking and joint modelling) through penalized regression calibration”. 10th Survival Analysis for Junior Researchers conference, Bonn (GE), March 2025.
“A critical appraisal of recent developments in the methodology for the dynamic prediction of survival”. Bernoulli-IMS 11\(^{th}\) World Congress in Probability and Statistics, Ruhr University Bochum, Bochum (GE), Aug. 2024
“Dynamic Prediction with Numerous Longitudinal Covatiates”. UseR!2024, Salzburg (AT), July 2024
“pencal: an R package for the dynamic prediction of survival with many longitudinal predictors”. 16th International Conference on Computational and Methodological Statistics (CMStatistics2023), Berlin (GE), Dec. 2023
“Handling many longitudinal predictors in survival analysis: a penalized regression calibration approach”. 34th European Meeting of Statisticians (EMS2023), University of Warsaw, Warsaw (PL), July 2023.
“Analysing populations of networks with mixtures of generalized linear mixed models”. 24th International Conference on Computational Statistics (COMPSTAT2022), University of Bologna, Bologna (IT), Aug. 2022.
“Penalized Regression Calibration: a statistical method to predict survival from longitudinal and high-dimensional omic data”. 31st International Biometric Conference, Riga (LV), July 2022.
“Penalized regression calibration: a method for the prediction of survival outcomes using complex longitudinal and high-dimensional data”. 8th Channel Network conference, Apr. 2021.
“How to predict a survival outcome using longitudinal and high-dimensional omic data”. 41st Conference of the International Society for Clinical Biostatistics, Aug. 2020.
“ptmixed: an R package for flexible modelling of longitudinal overdispersed count data”. European R users meeting (e-Rum2020), June 2020. Recording of the talk.
“From NEAT to NEWTON: ideas on how to eradicate dichotomania in network enrichment analysis”. COSTNET Early Career Training Event, Ludwig Maximilian University, Munich (GE), February 2019.
“Model-based clustering for populations of networks”. COSTNET18 conference, Warsaw (PL), September 2018.
“On a flexible model for longitudinal RNA-seq data: the Poisson-Tweedie mixed effects model”. 29th International Biometric Conference, Barcellona (SP), July 2018.
“Community detection in networks: shall we bother about metadata?”. COSTNET Sandpit meeting, Department of Statistics, Oxford (UK), March 2018.
“How to integrate gene enrichment analysis with information from gene interaction networks”. COSTNET17 conference, IFISC, Palma de Mallorca (SP), October 2017.
“Model-based clustering for populations of networks”. 32nd International Workshop on
Statistical Modelling, Groningen (NL), July 2017.
I received the Best
Student Paper Toyota Corporation Award of the Statistical Modelling
Society for the conference proceedings article associated to this
presentation.
“NEAT: an efficient Network Enrichment Analysis Test”. 31st International Workshop on Statistical Modelling, INSA, Rennes (FR), July 2016.
“Dynamic prediction of survival with many longitudinal covariates: a review and empirical comparison”. 9th Survival Analysis for Junior Researchers conference, Reisenburg (GE), September 2023.
“Inferring Community-driven Structure in Complex Networks”. SemStat Winter School “Statistical Network Science”, Eurandom, Eindhoven (NL), March 2017.
“PNEA: a parametric test for network enrichment analysis”. 44th annual Meeting of Dutch Statisticians and Probabilists, Lunteren (NL), November 2015.