{"id":5773,"date":"2026-09-12T21:53:21","date_gmt":"2026-09-12T19:53:21","guid":{"rendered":"https:\/\/www.marco-chierici.com\/?page_id=5773"},"modified":"2026-09-12T22:07:58","modified_gmt":"2026-09-12T20:07:58","slug":"students","status":"publish","type":"page","link":"https:\/\/www.marco-chierici.com\/it\/students\/","title":{"rendered":"Studenti"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Studenti che ho supervisionato o co-supervisionato.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Se cerchi una tesi su questi temi, <a href=\"https:\/\/www.marco-chierici.com\/it\/contact\/\" data-type=\"page\" data-id=\"5355\">scrivimi pure<\/a>.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Studenti di Laurea magistrale e triennale<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">Universit\u00e0 di Trento:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Juana Sofia Cruz Contento, <em>&#8220;<\/em>Comprehensive analysis of predictive models for determining hospital length of stay after coronary artery bypass surgery<em>&#8220;<\/em> (MSc, 2025)<\/li>\n\n\n\n<li>Silvia Menchetti, <em>&#8220;Generative AI for synthetic omics data&#8221;<\/em> (MSc, 2024)<\/li>\n\n\n\n<li>Federica Amore, &#8220;<em>Evaluation of machine learning pipelines to predict lung cancer survival from gene expression and clinical data<\/em>&#8221; (BSc, 2024)<\/li>\n\n\n\n<li>Adriano Voltolini, &#8220;<em>Multimodal survival prediction in lung adenocarcinoma patients<\/em>&#8221; (MSc, 2023)<\/li>\n\n\n\n<li>Federica Rignanese, &#8220;<em>Deep learning for survival prediction of prostatic cancer patients from PET\/CT imaging<\/em>&#8221; (MSc <em>cum laude<\/em>, 2023)<\/li>\n\n\n\n<li>Elisa Paolazzi, &#8220;<em>Enhancing reproducibility and interpretability in Crohn&#8217;s disease and ulcerative colitis detection<\/em>&#8221; (MSc <em>cum laude<\/em>, 2023)<\/li>\n\n\n\n<li>Tobia Pavona, &#8220;<em>Efficient Python implementation of Integrative Network Fusion<\/em>&#8221; (BSc, 2023)<\/li>\n\n\n\n<li>Tamara Rigo, &#8220;<em>Artificial Intelligence for improving the diagnosis and treatment of cardiovascular diseases: a case study on a large longitudinal Italian cohort<\/em>&#8221; (MSc <em>cum laude<\/em>, 2022)<\/li>\n\n\n\n<li>Giacomo Bornino, &#8220;<em>Machine Learning prediction of diabetes comorbidities in a large Italian cohort<\/em>&#8221; (MSc <em>cum laude<\/em>, 2021)<\/li>\n\n\n\n<li>Nicolae Puica, &#8220;<em>AI in predictive diagnostics: deep learning for gastrointestinal endoscopic imaging in Inflammatory Bowel Diseases<\/em>&#8221; (MSc, 2021)<\/li>\n\n\n\n<li>Federica Ress, &#8220;<em>Bioinformatics and machine learning for single-cell transcriptomics<\/em>&#8221; (BSc, 2020)<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Universit\u00e0 di Milano:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Samer Kharboush, &#8220;<em>Machine learning-based techniques for coronary artery disease prediction in a precision medicine setting<\/em>&#8221; (MSc, 2022)<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">Studenti di dottorato<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">Federica Rignanese (University of Trento, PhD in corso)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Alessandro Zandon\u00e0, &#8220;<em>Predictive networks for multi meta-omics data integration<\/em>&#8221; (Universit\u00e0 di Trento, PhD <em>cum laude<\/em>, 2017)<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">Tirocinanti<\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Gianmarco Midena (ora dottorando all&#8217;Universit\u00e0 di Aalto)<br><em>Deep learning applied to radiogenomics for the prediction of immune checkpoint inhibitor response in lung cancer patients<\/em> (2021)<\/li>\n\n\n\n<li>Eva Viesi (ora dottoranda all&#8217;Universit\u00e0 di Verona)<br><em>Implementation of a Python-based bioinformatics pipeline for data exploration and downstream analysis of single-cell sequencing expression matrices using public COVID-19 data<\/em> (2021)<\/li>\n\n\n\n<li>Marco Giulini (ora postdoc all&#8217;Universit\u00e0 di Utrecht)<br><em>Machine learning methods for predictive toxicology<\/em> (2018)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Studenti che ho supervisionato o co-supervisionato. Se cerchi una tesi su questi temi, scrivimi pure. Studenti di Laurea magistrale e triennale Universit\u00e0 di Trento: Universit\u00e0 di Milano: Studenti di dottorato Federica Rignanese (University of Trento, PhD in corso) Alessandro Zandon\u00e0, &#8220;Predictive networks for multi meta-omics data integration&#8221; (Universit\u00e0 di Trento, PhD cum laude, 2017) Tirocinanti<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"it_IT","_original_post":"https:\/\/www.marco-chierici.com\/?page_id=110","iawp_total_views":17,"footnotes":""},"class_list":["post-5773","page","type-page","status-publish","hentry","it-IT"],"_links":{"self":[{"href":"https:\/\/www.marco-chierici.com\/wp-json\/wp\/v2\/pages\/5773","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.marco-chierici.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.marco-chierici.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.marco-chierici.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.marco-chierici.com\/wp-json\/wp\/v2\/comments?post=5773"}],"version-history":[{"count":2,"href":"https:\/\/www.marco-chierici.com\/wp-json\/wp\/v2\/pages\/5773\/revisions"}],"predecessor-version":[{"id":5778,"href":"https:\/\/www.marco-chierici.com\/wp-json\/wp\/v2\/pages\/5773\/revisions\/5778"}],"wp:attachment":[{"href":"https:\/\/www.marco-chierici.com\/wp-json\/wp\/v2\/media?parent=5773"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}