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portfolio
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publications
Long Term Outcomes of Pediatric Onset HCM and age specific risk factors for Lethal Arr Events
Published in JAMA Card-2018, 2018
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A Covariate-Adjusted Bayesian Screening Approach for Multiple Longitudinal Biomarkers
Published in University of Florence, 2019
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Family history in survival and disease development
Published in SIS 2022 Book of Short Papers, 2022
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Exploration of most powerful tests for administrative right-censored data
Published in SEAS IN Book of short papers 2023, 2023
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Cure-rate models for detection of invasive breast cancer: a focus on family history
Published in Submitted, 2024
talks
Contributed talk at ICRA9 2022
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Contributed talk at SIS 2022
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Contributed talk at AICMS 2023
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Contributed talk at SEAS IN 2023
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Contributed talk at ISCB44
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teaching
Financial econometrics and empirical finance (Fall 2021)
Undergraduate course, Bocconi University, 2021
2019 - Financial econometrics and empirical finance provides students with the basic techniques for understanding and using probabilistic models and inferential statistical procedures commonly used in finance.
Statistics and data analysis preparatory course (Fall 2022)
Undergraduate course, Bocconi University, 2022
20354 - Statistics and data analysis preparatory course aims at providing students with the basic knowledge of statistics and data analysis acquired by students who attended the basic course of Statistics for (most of the) Bachelor programs at Bocconi University, necessary to successfully attend some of the courses taught at EMIT and TS Masters of Sciences in Bocconi.
Principles of business analytics (Fall 2021 - Fall 2022)
Undergraduate course, Bocconi University, 2022
20486 - Principles of business analytics provides students with a first introduction to the topics of business analytics and is divided into two parts. The first part analyzes prescriptive analytics methods, with the aim of introducing students to the use of models and the translation of business problems in terms of a corresponding mathematical model. The second part deals with descriptive analytics methods, which allow students to obtain information contained in datasets and relevant for business decisions.
Statistics (Fall 2022)
Postgraduate course, Bocconi University, 2022
20678 - Statistics aims at providing students with the basic knowledge of statistics and data analysis acquired by students who attended the basic course of Statistics for (most of the) Bachelor programs at Bocconi University, necessary to successfully attend some of the courses taught in the master degree.
Statistics (Fall 2020 - Spring 2023)
Undergraduate course, Bocconi University, 2023
30001 - Statistics is a second year course for the students enrolled in the BIEM and BIEF classes at Bocconi University. It introduces the basic of descriptive statistics and inference.
Statistics (Fall 2020 - Spring 2023)
Undergraduate course, Bocconi University, 2023
30595 - Statistics is a 2nd year course for the students enrolled in the CLEACC classes at Bocconi University. It introduces the basic of descriptive statistics and inference.
Quantitative methods for finance (Spring 2021 - Spring 2023)
Undergraduate course, Bocconi University, 2023
30025- Quantitative methods for finance aims to provide students with adequate preparation to be able to profitably address and understand the quantitative modeling used in finance. The use of Matlab software is foreseen to analyze and discuss the models in a concrete way.
Data analysis and visualization (Spring 2022 - Autumn 2023)
Postgraduate course, Bocconi University, 2023
20570 - Data analysis and visualization illustrates methods useful to analyse and summarize the most salient features of data sets with respect to both the variables and the cases. The course features hands-on classes, where the application of each techniques is discussed with reference to real datasets.
Mathematics (Autumn 2022 - Autumn 2023)
Undergraduate course, Bocconi University, 2023
30268 - Mathematics is a first year course for the students enrolled in the CLEACC classes at Bocconi University. It introduces the basic of descriptive statistics and inference.