Curriculum Vitae

Last updated on Nov 10, 2021

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Work Experience

  • Senior Applied Scientist for Zalando
    • From August 2023
  • Technical Writer for Towards Data Science
    • From April 2022
  • Data Science Intern for Google
    • August 2022 - December 2022
  • External Consultant for Amazon
    • 2021 - 2022
  • Intern at EU Commission, Brussels (BE), DG-COMP, Chief Economist Office
    • European Commission, spring 2016

Education

  • Ph.D. Economics, University of Zurich, 2023

  • Visiting Assistant in Research, Yale University, fall winter 2021-2022

  • M.S. Economics and Social Sciences, Bocconi University, 2016

  • B.S. Economics and Social Sciences, Bocconi University, 2014

Primary interests: Industrial Organization, Econometrics, Causal Inference
Secondary interests: Competition Policy, Machine Learning, Market Design, Behavioral Economics

Working Papers

Foreclosure Complementarities: Exclusionary Bundling and Predatory Pricing (with G. Crawford)
We use a computational model of industry dynamics to study exclusionary bundling and predatory pricing. We show that the two foreclosure practices are complementary and we investigate policies.

Algorithmic Collusion Detection
I show that pricing algorithms can learn reward-punishment schemes without observing rival’s actions and I propose a model-free test for algorithmic collusion based on observational data.

Algorithmic Collusion in Online Marketplaces
I show that profit maximizing online marketplaces, by algorithmically controlling consumers’ attention, have the incentives and ability to influence algorithmic pricing collusion.

Approximation Methods for Large Dynamic Stochastic Games
I compare existing approximation methods to compute Markow Perfect Equilibrium in dynamic stochastic games with large state spaces and propose a new one: games with random order.

Teaching

Presentations

2021

  • Asia and Pacific IO Conference (14/12)
  • European Winter Meeting of the Econometric Society (13/12)
  • Industrial Organization Prospectus Workshop at Yale University (14/10)
  • 2nd AI and Policy Conference (14/09)
  • Swiss IO Day (10/06)
  • Annual Congress of the Swiss Society of Economics and Statistics Microeconomics (14/05)

2020/19

  • Applied Microeconomics Seminar at University of Zürich (x4)
  • Theory Seminar at University of Zürich (x3)

Academic Activities

  • Referee for the Journal of Competition Law and Economics
  • Research Assistant for Paolo Pinotti, Eliana La Ferrara, Anna Gibert
    • Bocconi University, 2016-17

Honors, Awards, and Fellowships

  • Doc.Mobility Scholarship (09/2021)
    • Swiss National Science Foundation
  • 1st place, Machine Learning Datathlon (05/2021)
    • ETH Zurich, Analytics Club
  • Doctoral Scholarship (08/2017)
    • University of Zurich

Thesis Supervisions

  • Jannick Sicher (MSc), “Adversarial Approach to Algorithmic Collusion Detection”"
  • Tim Herter (MSc), “The Effect of U.S. Food Aid on Underweight”
  • Andrin Pluss (BSc), “Merger Simulation and Competition Models”
  • Yuming Pan (MSc), “The Impact of Free Legal Aid on Criminal Activities”

Skills

Computational

  • Computing: Python, Julia, R, MATLAB, Stata
  • Design: LaTeX, Markdown, Tableau, CSS
  • Cloud: AWS, Redshift
  • Other: Git, SQL, Unix, Docker

Languages

  • Italian (native)
  • English (fluent)
  • French (conversational)
  • German (beginner)
  • Spanish (beginner)

References

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