Marco Pirazzini

Marco Pirazzini

PhD student in Computer Science

Yale University

Welcome to my personal website! I am a 1st year PhD student at the Department of Computer Science at Yale University working with Prof. Dan Spielman. I am interested in the interplay between mathematics and computer science, in particular spectral graph theory and approximation algorithms.

Before joining Yale I completed a MSc in Data Science at Bocconi University advised by Prof. Luca Trevisan, with a thesis on the non-backtracking matrix and its applications to the SIR model on graphs. Prior to that, I obtained a BSc in Economics and Computer Science advised by Prof. Fabio Maccheroni, where I worked on neuroeconomics and algorithms for human decision making.

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Interests
  • Algorithms
  • Spectral Graph Theory
  • Discrete Mathematics
Education

  • PhD in Computer Science, 2026 (expected)

    Yale University

  • MSc in Data Science and Business Analytics, 2021

    Bocconi University

  • BSc in Economics, Management and Computer Science, 2019

    Bocconi University

Publications

Carlo Baldassi, Simone Cerreia-Vioglio, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini (2020). A behavioral characterization of the drift diffusion model and its multialternative extension for choice under time pressure. Management Science.

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Carlo Baldassi, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini (2020). Ergodic Annealing. arXiv preprint arXiv:2008.00234.

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Carlo Baldassi, Simone Cerreia-Vioglio, Fabio Maccheroni, Massimo Marinacci, Marco Pirazzini (2020). Multialternative Neural Decision Processes. arXiv preprint arXiv:2005.01081.

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