PhD in Economics, Statistics and Data Science (ECOSTATDATA)
University of Milan-Bicocca
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A.A. 2023-2024:
Potential Outcome and Models for Causal Inference —
12 hours
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A.A. 2020-2021:
Statistical Modelling - Path Analysis, Latent Variable Models, Structural Equation Models —
12 hours
PhD in Economics
University of Milan and University of Pavia
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A.A. 2018-2019:
Econometrics - Causal Inference using STATA (with M. Bratti) —
14 hours
Master AIDA - AI & Data Analytics for Business (Ed. I)
Department of Statistics, University of Milan-Bicocca
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September/October 2025:
Statistical Modelling and Machine Learning —
88 hours
Students' eval
Applied Health Econometrics and Health Policy Summer School - AHEHP
Brunel University (UK) and University of Bergamo
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July 22, 2024 and July 28, 2023:
Policy Evaluation and Methods of Causal Inference in Health —
2 hours
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July 19-22, 2017 and 2018:
Policy Evaluation: Difference-In-Difference Models + Stata Lab. Session —
4 hours
Master of Science in Business Intelligence and Big Data Analytics
Department of Statistics, University of Milan-Bicocca (Ed. I to XI)
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September/October 2024:
Statistics and Data Mining —
84 hours
Students' eval
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September/October 2023:
Statistics and Data Mining —
48 hours
Students' eval
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September/October 2022:
Statistics and Data Mining —
44 hours
Students' eval
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September/October 2021:
Statistics and Data Mining —
40 hours
Students' eval
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September/October 2020:
Statistics and Data Mining —
36 hours
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October/December 2019:
Statistics and Data Mining —
28 hours
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April/October 2018:
Statistics and Data Mining —
24 hours
Students' eval
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April/September 2017:
Statistics —
24 hours
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April/September 2016:
Statistics —
24 hours
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September 2015:
Statistics —
12 hours
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June 2015:
Data Mining —
12 hours
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October 2014 and May 2013:
Introduction to SAS Software —
8 hours
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November 2013:
Familiar Tax-Policies in a Regional Perspective —
8 hours
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June 2012:
Microsimulation Methods for Familiar Tax-Policies —
8 hours
PhD in Statistics and Mathematical Finance (XXXIII Cycle)
Department of Statistics, University of Milan-Bicocca
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October 18-19, 2018:
Potential Outcomes and Models for Causal Inference —
12 hours
Master of Science in Data Management for Clinical Research
Department of Statistics, University of Milan-Bicocca (Ed. I to V)
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March 2014, February 2015, February 2016, January-February 2017:
Clinical Research using SAS —
8 hours
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January 2013:
Introduction to SAS Software —
16 hours
Undergraduate Courses
Department of Economics, Management and Quantitative Methods, University of Milan
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September-December 2014:
Introduction to Econometrics and Data Analysis (using Gretl) —
20 hours
Teaching Assistant
Undergraduate Courses
Department of Economics, Management and Quantitative Methods, University of Milan
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A.Y. 2015-2016:
Microeconomics (Prof. M. Bratti)
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A.Y. 2014-2015, 2015-2016:
Labor Economics (Prof. D. Checchi and Prof. G. Pica)
Teaching Activity Over Time