About me
Hi there! I am an Economist interested in Data Science. I am passionate about data and in particular macroeconomic data. I have 7+ years of experience in teaching introductory courses in Economics and Econometrics. I have also worked on academic projects aimed at creating interactive contents for students. My goal is to combine my knowledge of Macroeconomics with my interest in Data Science. Occasionally I write articles on economic policy issues in Italy and Europe.
Here you can find my cv.
And here the complete list of my articles.
- Macroeconomic modelling & data analysis
- Pluralism in economics education
- Demand and growth regimes
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PhD (Dottorato di ricerca) in Economics and Management, 2015
University of Urbino
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MA in International Economics, 2013
Berlin School of Economics and Law (HWR Berlin)
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MA (Laurea Specialistica) in Philosophy, 2010
University of Urbino
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BA (Laurea Triennale) in Philosophy, 2007
University of Urbino
Skills
Experience
I have worked mainly on two projects, MGWK, short for the German Modelltheoretische Grundlagen wirtschaftspolitischer Kontroversen, and WIPOSIM - The economic policy simulator. Goal of the two project was to teach Macroeconomics in an interactive and engaging way using some simple simulations. Both projects have been developed entirely in R/RStudio and numerous other packages (shiny, plotly, bookdown, etc.).
My responsibilities included:
- Programming of the simulations and the relative interactive applications
- Drafting the explanatory texts for the simulations
- Editorial work on the final textbook
I have developed and taught the following courses:
- Business Economics (WS 2017-18)
- Economics Tutorium (WS 2016-17)
- International Economics (SS 2016, SS 2018)
- Macroeconomics: The Economic Cycle and Employment (SS 2016, WS 2016-17, SS 2017, SS 2018, WS 2018-19, SS 2019)
- Quantitative Methods for Economists (WS 2017-18, WS 2018-19, WS 2019-20, WS 2020-21, WS 2021-22, WS 2022-23)
- Research Methods Seminar (WS 2019-20)
Accomplishments
