CV

Education

• 2020-current: PhD in Statistics and Computer Science (English), Bocconi University (Italy)

• 2018-2020: M.Sc. in Stochastics and Data Science (English), Università degli Studi di Torino (Italy)
  • Grade: 110/110 “cum laude with mention”
  • Graduation project: “Bayesian GARCH modelling for Functional Sports Data”
  • Graduation supervisors: Silvia Montagna (Università degli Studi di Torino) and Raffaele Argiento (Università Cattolica del Sacro Cuore, Milano)
• 2018-2020: Senior Allievi Program (English), Collegio Carlo Alberto, Torino (Italy)
  • Title: Master in Statistics and Applied Mathematics “with Distinction”

• 2015-current: Institution of excellence and higher education for University Studies (Italian), Scuola di Studi Superiori Ferdinando Rossi of the University of Turin (Italy)

• 2015-2018: B.Sc. in Mathematics (Italian), Università degli Studi di Torino (Italy)
  • Grade: 110/110 “cum laude”
  • Graduation project: “First crossing problems for discrete Stochastic Processes”

Work experience

• July 2019 – April 2020: Teaching assistance University of Turin
  • Teaching support for undergraduate Statistics course at the Economics Faculty

IT Skills

• Programming Languages:
  • Julia (good level)
  • Python (good level)
  • R (good good)
  • C++ (good level)
  • Mathlab (good level)
  • SAS (basic knowledge)
  • Stata (basic knowledge)
• Software
  • GitHub/GitLab
  • Office
  • Netlogo

Language Skills

• Italian: mother tongue
• German: GOETHE-ZERTIFIKAT C1 Sehr gut (very good) GOETHE-ZERTIFIKAT WIRTSCHAFTDEUTSCH Sehr gut (very good)
• English: CAMBRIDGE ENGLISH: FIRST (FCE) B2 Grade B
• French: DELF B1 86,5/100

Working Papers

• “Bayesian GARCH modelling for Functional Sports Data”