Mentoring

Current PhD (mentored and co-tutored):

• Dr. Alessia Mapelli, PhD in Data Analytics and Decision Sciences   (advisor)
  Graph for representation of biological systems and prediction of complex diseases

• Dr. Andrea Corbetta, PhD in Data Analytics and Decision Sciences   (advisor)
  Analysis of determinants and outcomes of health-related trajectories from electronic health records

• Dr. Andrea Vergani  (tutor)
  Multi-modal integration of complex omics data for cardiovascular disease risk prediction in clinical decision support

• Dr. Nicole Fontana  (tutor)
  Causal inference in artificial intelligence with application to health data science applied to longitudinal (EHRs) and genomic data

• Dr. Daniela Zanotti   (co-advisor)
  Population-scale multi-omic data in health and disease

• Dr. Alessandra Catalano   (co-advisor)

• Dr. Lucia Piubeni (co-advisor)

• Dr. Michele Calabrò (co-advisor)

• Dr. Matteo Greco  (advisor)
  
  

PhD Alumni:

37th cycle

• Natural Language Processing for Clinical Documents: addressing label scarcity to support healthcare policy and clinical practice
  Dr. Vittorio Torri, PhD in Data Analytics and Decision Sciences   (advisor)
  
  

36th cycle

• Patient representation methods assessing diagnostic-therapeutic pathways and risk stratification using real world data
  Dr. Laura Savarè, PhD in Data Analytics and Decision Sciences   (advisor)

• Toward a Dynamic Approach  to Decision-Making in Chronic Illness: a Statistical Framework using Real-World Longitudinal Data
  Dr. Caterina Gregorio, PhD in Mathematical Models and Methods for Engineering   (advisor)
  
  

35th cycle

• Representation methods for imaging-based multi-level cancer heterogeneity: towards Virtual Biopsy and prognostic subtyping
  Dr. Lara Cavinato, PhD in Data Analytics and Decision Sciences   (advisor)

• Machine learning for precision medicine : a combination of data-driven and physics based models
  Dr. Nicola R. Franco, PhD in Mathematical Models and Methods for Engineering   (co-advisor)

• GeCo Agent: User-Friendly Platform for supporting Data Science Process
  Dr. Sara Pidò, PhD in Data Analytics and Decision Sciences  (co-advisor) 

34th cycle

• Patient Representations from Complex Biological Systems for Precision Medicine
  Dr. Michela C. Massi, PhD in Data Analytics and Decision Sciences   (advisor)
  --- Best PhD thesis award (applied statistics) from the Italian Statistical Society ---

• Statistical modelling of time-varying covariates for survival data
  Dr. Marta Spreafico, PhD in Mathematical Models and Methods for Engineering   (advisor)

31th cycle

• Parametric and nonparametric frailty survival models for exploring unobserved heterogeneity and profiling Heart Failure patients through administrative databases
  Dr. Francesca Gasperoni, PhD in Mathematical Models and Methods for Engineering   (co-advisor)

• Semi-parametric mixed-effects models for assessing public education systems
  Dr. Chiara Masci i, PhD in Mathematical Models and Methods for Engineering   (co-advisor)

29th cycle

• Robust Statistical Methods in Functional Data Analysis
  Dott. Nicholas Tarabelloni, PhD Thesis in Mathematical Models and Methods in Egineering (co-advisor)

• Mining Large Administrative Databases: Efficient and Scalable Algorithms for Statistical Modeling
  Dott. Francesco Grossetti, PhD Thesis in Mathematical Models and Methods in Egineering (co-advisor)

MD Theses:

AA 2024/2025

• A Flexible Digital Twin Approach for ICU Glucose Management
  Dr. Alessandro Piana, Master Degree in Mathematical Engineering  (co-advisor)

• Joint modelling of re-hospitalization and mortality through discrete bivariate frailty in heart failure patients
  Dott.ssa Ardiana Prekazi, Master Degree in Mathematical Engineering  (advisor)

• SAFE-LD: a novel method for the estimation of linkage disequilibrium
  Dott.ssa Giulia De Sanctis, Master Degree in Mathematical Engineering  (advisor)

• From Delays to Dynamics: Multi-state Modeling in Suburban Rail Transport
  Dott.ssa Stefania Colombo, Master Degree in Mathematical Engineering  (advisor)

• Reconstructing the natural history of breast cancer from screening data: Bayesian estimation of semi-Markov mixture models
  Dr. Luca Trizio, Master Degree in Mathematical Engineering  (advisor)

• Causal inference in functional data analysis: estimating causal effects using a propensity score-based approach
  Dr. Simone Ciardulli, Master Degree in Mathematical Engineering  (advisor)

• Network regression and monitoring of public tranportations based on OD matrices
  Dr. Giuseppe Cicerone, Master Degree in Mathematical Engineering  (advisor)

• Multi-state modeling of multimorbidity trajectories in older adults: A simulation study and application to a Swedish cohort
  Dott.ssa Valentina Manzoni, , Master Degree in Mathematical Engineering  (advisor)

• Integration of radiomic features and intra-patient heterogeneity of colorectal cancer metastases for prognostic modeling
  Dott.ssa Gilda Matteucci, Master Degree in Mathematical Engineering  (advisor)

• Multi-state models with intermittent observation scheme in the aging research field
  Dott.ssa Alessandra Pescina, Master Degree in Mathematical Engineering  (advisor)

• Multi-view clustering methods in clinical research: a comparative assessment of unsupervised and semi-supervised approaches
  Dr.ssa Valeria Iapaolo, Master Degree in Mathematical Engineering  (advisor)

• A Predictive Digital Twin framework for Risk Assessment in Congestive Heart Failure
  Dr. Davide Carnevali, Master Degree in Mathematical Engineering  (co-advisor)

AA 2023/2024

• Non-Parametric Survival Learning for Prognostic Modeling: Integrating Temporal Imaging Data and Intra-Patient Lesions’ Heterogeneity
  Dott.ssa Sofia Moroni, Master Degree in Mathematical Engineering   (advisor)

• Guided Variational Autoencoders for semantic proteomic applications
  Dott. Nataniel Nethelcott, Master Degree in Mathematical Engineering   (advisor)

• Improving Breast Cancer Detection through Deep Learning and Digital Breast Tomosynthesis Leveraging Open-Source Data
  Dott. Chiara Mocetti, Master Degree in Mathematical Engineering  (advisor)

• Design and Development of a Multi-Objective Evolutionary Algorithm for Drug Discovery
  Dott. Sara Rescalli, Master Degree in Mathematical Engineering  (advisor)
  
  

AA 2022/2023

• Model-based clustering of lifetime data with frailties and random covariates for the profiling of COVID-19 heart failure patients
  Dott. Lorenzo Angiolini, Master Degree in Mathematical Engineering (advisor)

• Deep learning-driven image analysis of epithelial tissues structure and organization
  Dott. Federico Carrara, Master Degree in Mathematical Engineering (advisor)

• DNA methylation as mediator in the association of dietary nutrient intakes with the risk of CardioVascular diseases: a systematic comparison and evaluation of Meet-in-the-Middle approaches
  Dott.ssa India Ermacora, Master Degree in Mathematical Engineering (advisor)

• Modeling genetic effects on gene expression dynamics in B cells: a functional analysis approach
  Dott.ssa Daniela Zanotti, Master Degree in Mathematical Engineering (advisor)

• Dynamic prediction of survival with many longitudinal predictors: an empirical evaluation
  Dott.ssa Sophie Retif, Master Degree in Mathematical Engineering (advisor)

AA 2021/2022

• On the adjustment of the Inflation Factor in the Functional Boxplot through Robust Covariance Estimation for Outlier Detection
  Dott.ssa Annachiara Rossi, Master Degree in Mathematical Engineering (co-advisor)

• A spatial analysis of railway mobility and its relationship with pandemic spread in Lombardia during 2020
  Dott.ssa Greta Galliani, Master Degree in Mathematical Engineering (advisor)

• Sequence analysis techniques to evaluate drugs-based diagnostic therapeutic paths in heart failure patients
  Dott.ssa Nicole Fontana, Master Degree in Mathematical Engineering (advisor)

• The effects of mobility restrictions on public health: a functional data analysis for Italy over the years 2020 and 2021.
  Dott.ssa Veronica Mazzola, Master Degree in Mathematical Engineering (advisor)

• Multi-outcome feature selection via anomaly detection autoencoders: An application to radiogenomics in breast cancer patients
  Dott.ssa Alessia Mapelli, Master Degree in Mathematical Engineering (advisor)

• A Non-Parametric-based Inferential Framework for Multivariate Functional Data: an application to ECG signals
  Dott. Micheal Ronzulli, Master Degree in Mathematical Engineering (advisor)

• COVID-19 spread over Europe: A statistical study to detect regional contextual factors
  Dott.ssa Francesca Anfossy, Master Degree in Mathematical Engineering (advisor)

AA 2020/2021

• Statistical assessment of Radiomics role in prognosis of patients with Intrahepatic Cholangiocarcinoma
  Dott.ssa Noemi Rossi, Master Degree in Mathematical Engineering (advisor)

• Joint modelling of hospitalizations and survival in Heart Failure patients: a discrete nonparametric frailty approach   
  Dott. Riccardo Scaramuzza, Master Degree in Mathematical Engineering (advisor)

• Distant supervised learning for cancer subtyping with multiphase imaging data integration
  Dott. Matteo Savino, Master Degree in Mathematical Engineering (advisor)

• Optimal transplant times for myelodysplastic syndromes
  Dott.ssa Alice Arcardini, Master Degree in Mathematical Engineering (advisor)

• Multi-State Models applied to Covid-19 hospitalized patients. A retrospective study on the first wave in Spain
  Dott.ssa Francesca Arlati, Master Degree in Mathematical Engineering (advisor)

• Deep learning-based feature importance ranking for DNA methylation data in breast cancer risk stratification
  Dott. Lorenzo Dominoni, Master Degree in Mathematical Engineering (advisor)

• Unsupervised approaches to volumetric imaging-based risk stratification of patients affected by colorectal liver metastases
  Dott.ssa Margherita Butti, Master Degree in Mathematical Engineering (advisor)

• Statistical methods for radiomics-based intra-tumor heterogeneity assessment in multi-lesion cancer
  Dott.ssa Alessandra Ragni, Master Degree in Mathematical Engineering (advisor)

• Machine Learning models to support the calibration and quality control phase of micro-electro-mechanical systems
  Dott.ssa Giulia Gualtieri, Master Degree in Mathematical Engineering (co-advisor)

AA 2019/2020

• A classification model for the upfront identification of chemo-sensitive and -refractory classical Hodgkin lymphoma patients using genetic and clinical information
  Dott.ssa Giulia Baroni, Master Degree in Mathematical Engineering (advisor)

AA 2018/2019

• Survival and Multi-State Models for assessing the efficacy of SBRT as a treatment of oligometastatic patients
  Dott.ssa Vanessa Polenghi, Master Degree in Mathematical Engineering (advisor)

• MinEHR: Mining Electronic Health Records: A proposal for analyzing Medical Records in Heart Diseases with Data Mining techniques
  Dott.ssa Martina Brocca, Master Degree in Mathematical Engineering (advisor)

• Computational methods for chemo-resistance prediction in High Grade Serous Ovarian Adenocarcinoma
  Dott.ssa Sara Sansone, Master Degree in Computer Science and Engineering (co-advisor)

• Genome-based chemoresistance prediction in High-Grade Serous Ovarian Adenocarcinoma
  Dott.ssa Giada Lalli, Master Degree in Bioengineering (co-advisor)

• Performing Survival Analysis via Functional Cox-type Regression and a Machine Learning approach: an application to Heart Failure patients
  Dott. Davide Burba, Master Degree in Mathematical Engineering (advisor)

• Automazione e Ottimizzazione del controllo qualità di componenti microelettroniche mediante Random Forest
  Dott. Paolo Urbini, Dott. Marco Misseri, Master Degree in Mathematical Engineering (advisor)

AA 2017/2018

• Statistical modelling of adherence to drug prescription and its effects on survival in Heart Failure patients

   Dott.ssa Marta Spreafico, Master Degree in Mathematical Engineering (advisor)

• Applications of nonparametric frailty models for the analysis of long term survival in Heart Failure patients  

   Dott.ssa Michela Agosti, Master Degree in Mathematical Engineering (advisor)

• A method for the joint inference of multiple Gaussian graphical models in high-dimensional setting

   Dott.ssa Ilaria Speranza, Master Degree in Mathematical Engineering (advisor)

•  Analisi di comunitá in una rete bipartite pazienti/diagnosi di ricoveri ospedalieri in Regione Lombardia 

    Dott.ssa Monica Giordano Master Degree in Mathematical Engineering (advisor)

AA 2016/2017

• Caratterizzazione delle spese energetiche delle famiglie italiane con focus sulla povertà energetica

   Dott. Valeria Crespi, Master Degree in Ingegneria Civile, per l'Ambiente e il Territorio (co-advisor)

• A bootstrap based inferential framework for Multivariate Functional Data: an application to ECG signals

   Dott. Francesco Palma,  Master Degree in Mathematical Engineering (advisor)

• Data Mining Application to Healthcare Fraud Detection

   Dott.ssa Michela Massi, Master Degree in Industrial and Management Engineering (co-advisor)

• A latent space model approach for clustering complex network data

   Dott. Alberto Donizetti,  Master Degree in Mathematical Engineering (advisor)

AA 2015/2016

• Network analysis of comorbidity patterns in Heart Failure patients using administrative data

  Dott. Daniele Bitonti, Tesi Magistrale in Ing. Matematica (advisor)

AA 2014/2015

• Modelli Stocastici per la Dinamica di Crescita Tumorale

   Dott.ssa Francesca Ventura, Master Degree in Mathematics (advisor)

• Modelli Statistici per Variabili di Conteggio: un’applicazione ai Processi di Ospedalizzazione di Pazienti affetti  da Scompenso Cardiaco

  Dott.ssa Francesca Carnevale, Master Degree in Mathematics (advisor)

• Statistical methods For dealing with missing data; an application to INVALSI data on students' achievements in maths

  Dott. Gionata Rogiani, Master Degree in Mathematics (advisor)

• Analisi Comparativa di Misure di Profondità per Dati Funzionali Multivariati

  Dott.ssa Mara Gusmini, Master Degree in Mathematics (advisor)

• Tecniche di classificazione multivariata per la diagnosi semiautomatica di patologie cardiache

  Dott. Matteo Ruiu, Master Degree in Mathematics (advisor)

• Generalization of the PC algorithm for Non-Linear and Non-Gaussian Data and its application to Biological Data

  Dott.ssa Nina DesGranges, Master Degree in Mathematical Engineering (co-advisor)

• Models for Predicting Readmissions in Heart Failure Patients: a Comparison between Lombardia and England

  Dott.ssa Chiara Ventura, Master Degree in Mathematical Engineering (co-advisor)

• Analisi Statistica di Dati ad Alta Dimensionalità: un'applicazione ai Segnali Elettrocardiografici

  Dott. Federico Indino, Master Degree in Mathematical Engineering (co-advisor)

• Monitoring and Modeling hospital networks using administrative data

  Dott.ssa Alessandra Grossi, Master Degree in Mathematical Engineering (co-advisor)

• The Analysis of Reading and Maths Pupils’ Achievements by means of Bivariate Multilevel Models

  Dott.ssa Chiara Masci, Master Degree in Mathematical Engineering (co-advisor)

• Frailty Multi State Models for analysis of Heart Failured patients

  Dott.ssa Francesca Gasperoni, Master Degree in Mathematical Engineering (co-advisor)

• Statistical analysis of fnirs data applied to cerebral hemodynamics

  Dott.ssa Viola Bonomini, Master Degree in Mathematical Engineering (co-advisor)

• Data Mining per Dati Categorici ad Alta Dimensionalità

  Dott. Riccardo Tortul, Master Degree in Mathematical Engineering (co-advisor)

AA 2013/2014

• Hazard reconstruction and clustering for better prognosis of disease progression in heart failure

  Dott.ssa Teresa Pietrabissa, Master Degree in Mathematical Engineering (co-advisor)

• Uso delle misure di profondità per dati funzionali multivariati nella previsione di patologie: un'applicazione ai segnali elettrocardiografici

  Dott.ssa Rachele Biasi, Master Degree in Mathematical Engineering  (co-advisor)

• Metodi Numerici e Statistici per la Simulazione e la Validazione di ECG

  Dott. Nicholas Tarabelloni, Master Degree in Mathematical Engineering  (co-advisor)

AA 2012/2013

• Modelli Bayesiani Semiparametrici Multivariati per le Probabilità di Sopravvivenza in seguito ad Infarto Miocardico Acuto

  Dott.ssa Elena Prandoni, Master Degree in Mathematical Engineering  (tutor)

AA 2010/2011

• Metodi Statistici per l'ottimizzazione dei tempi di Percorrenza delle Ambulanze nella provincia di Milano

  Dott. Giovanni Cassarini, Master Degree in Mathematical Engineering  (co-advisor)

• Modelli statistici per la gestione dei rischi operativi

  Dott. Stefano Ziller, Master Degree in Mathematical Engineering  (co-advisor)

AA 2009/2010

• Modelli statistici per lo studio della Fibrillazione Atriale

  Dott. Paolo Zanini, Master Degree in Mathematical Engineering  (co-advisor)

AA 2008/2009

• Il problema del record linkage tra dataset: un approccio probabilistico

  Dott. Stefano Ziller, Dott. Andrea Cremaschi, Bachelor Degree in Mathematical Engineering  (tutor)