19 March 2018

• Andrea Capra. Metodi statistici per la ricerca di biomarcatori in metabolomica. Il caso del tumore alla prostata = Statistical methods for biomarkers discovery in metabolomics. The case of prostatic tumor. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2018
  

  

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16 July 2018

• Ivo Vincentius Stoepker. Statistical Inference based on the Empirical Identity Process. Rel. Mauro Gasparini, Enrico Bibbona. Politecnico di Torino, Master of science program in Mathematical Engineering, 2018
  

  

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• Carlo Abrate. Topic-based summarization to objectively analyze Central Bank statements and market sentiment. Rel. Mauro Gasparini, Roberto Fontana. Politecnico di Torino, Master of science program in Mathematical Engineering, 2018
  

  

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17 September 2018

• Alessandra Serra. Exploring association of several variables using mutual information. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2018
  

  

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• Flavia Grignani. Using machine learning and Bayesian networks to objectively analyze central bank statements and market sentiment:. Rel. Mauro Gasparini, Roberto Fontana. Politecnico di Torino, Master of science program in Mathematical Engineering, 2018
  

  

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19 December 2018

• Margherita Annaratone. Statistical methods to analyse registry data in a comparative setting. Rel. Mauro Gasparini, Gaelle Saint-Hilary. Politecnico di Torino, Master of science program in Mathematical Engineering, 2018
  

  

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• Simona Fiorito. Variable importance in modern regression with application to supplier productivity analysis. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2018
  

  

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2 December 2019

• Simone De Rosa. Comparison of Parametric and Non-parametric Approaches for Accuracy of Quantitative Microbiological Methods. Rel. Mauro Gasparini, Edwin R. Van Den Heuvel. Politecnico di Torino, Master of science program in Mathematical Engineering, 2019
  

  

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• Alessandro Barilli. Maximum likelihood based clustering via parallel computing. Rel. Mauro Gasparini, Anna Paganoni. Politecnico di Torino, Master of science program in Mathematical Engineering, 2019
  

  

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16 July 2020

• Fulvio Di Stefano. Adaptive Designs and bias in treatment effects estimation. Rel. Mauro Gasparini, Gaelle Saint-Hilary. Politecnico di Torino, Master of science program in Mathematical Engineering, 2020
  

  

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23 October 2020

• Leonardo Ortoleva. A network algorithm for exact tests for Hardy-Weinberg equilibrium with X-chromosomal variants. Rel. Mauro Gasparini, Jan Graffelman. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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19 March 2021

• Francesco Picasso. A CHANGE POINT MODEL FOR VARIABILITY ANALYSIS OF A MANUFACTURING PROCESS. Rel. Mauro Gasparini, Daniele Cappelletti, Enrico Bibbona. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021
  

  

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• Simone Gauzolino. Un’analisi corrente e previsionale dei movimenti contabili con l’ausilio della Business Intelligence = Current forecasting of business transactions using Business Intelligence. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021

14 July 2021

• Luca Semeraro. Signature development for the detection of Pulmonary Hypertension. Rel. Mauro Gasparini, Matthieu Villeneuve. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021
  

  

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27 July 2021

• Vittorio Zampinetti. Copy-number aware clonal-tree reconstruction using single-cell RNA sequence. Rel. Mauro Gasparini, Jens Lagergren, Alessandra Guglielmi. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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26 October 2021

• Piero Ciffolillo. IDBN-MINING: DATA MINING IN BASI DI CONOSCENZA MEDIANTE VALUTAZIONE DI MODELLI GRAFICI PROBABILISTICI. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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1 December 2021

• Giulia Rizzello. De-escalation per la Doppia Terapia Antiaggregante per pazienti con Sindrome Coronarica Acuta dopo un Intervento Coronarico Percutaneo: una Network Meta-analisi di studi randomizzati e controllati = De-escalation of Dual Antiplatelet Therapy for patients with Acute Coronary Syndrome after Percutaneous Coronary Intervention: a Network Meta-analysis of randomised controlled trials. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021
  

  

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29 July 2022

• Andrea Cognolato. Learning nonparametric individualized treatment response curves. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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25 November 2022

• Meike Adani. Survival analysis: an algorithmic approach to lifetime prediction. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2022
  

  

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20 March 2024

• Cecilia Campanile. Quantifying User Ability in Visual Research: A Bayesian Analysis from a Gamified Task. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2024

4 October 2024

• Giulia Monchietto. Analyzing skiing performance: a Bayesian approach to account for athlete abilities and varying race conditions. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2024
  

  

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18 July 2025

• Vito La Piana. Confronto di metodi statistici per il confronto dei tassi di eventi avversi di trattamenti clinici alternativi. Rel. Mauro Gasparini. Politecnico di Torino, Master of science program in Mathematical Engineering, 2025
  

  

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10 October 2025

• Vincenzo Di Trani. Un approccio Bayesiano completo per il miglioramento della stima dell’efficacia vaccinale in studi clinici con campioni di dimensioni limitate = A full Bayesian approach for improved vaccine efficacy estimation in clinical trials with limited sample sizes. Rel. Mauro Gasparini, Marco Ratta. Politecnico di Torino, Master of science program in Mathematical Engineering, 2025
  

  

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20 March 2026

• Vera Sorrentino. Beyond the Staircase Method: Model-Based Estimation of Fatigue Parameters under Limited Data. The Case of High-Strength Bolts. Rel. Mauro Gasparini, Carlo Rosso. Politecnico di Torino, Master of science program in Mathematical Engineering, 2026
  

  

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