Gianluca Brero

Gianluca Brero


Gianluca Brero
Ph.D. Student
Department of Informatics
University of Zurich
Binzmühlestrasse 14
CH-8050 Zürich
Room BIN 2.B.05
Tel +41 44 635 45 63
Email brero at

Short Bio

Since September 2014, Gianluca is a Ph.D. student in the Computation and Economics Research Group at the Department of Informatics of the University of Zurich. In 2014, he received a M.Sc. in Mathematical Engineering from Turin Polytechnic with a final thesis on games over networks. From 2012 to 2014, he has also been a student at Alta Scuola Politecnica, an educational joint venture of Milan Polytechnic and Turin Polytechnic which focuses on multidisciplinarity and innovation. During Summer 2016, he was a research intern at Microsoft Research Lab – New York City where he worked on Gaussian methods for market clearing under the supervision of Sébastien Lahaie.


Research Interests

Mechanism Design, Market Design, Preference Elicitation, Artificial Intelligence, Machine Learning


  • A Bayesian Clearing Mechanism for Combinatorial Auctions. [pdf] [extended]
    Gianluca Brero and Sébastien Lahaie. 
    In Proceedings of the Thirty-Second AAAI Conference of Artificial Intelligence (AAAI-18), New Orleans, USA, February 2018.
  • Probably Approximately Efficient Combinatorial Auctions via Machine Learning. [pdf]
    Gianluca Brero, Benjamin Lubin, and Sven Seuken. 
    In Proceedings of the Thirty-First AAAI Conference of Artificial Intelligence (AAAI-17), San Francisco, USA, February 2017.
  • Dynamics in Network Games with Local Coordination and Global Congestion Effects. [pdf]
    Gianluca Brero, Giacomo Como, and Fabio Fagnani. 
    In Proceedings of the Fifty-Third IEEE Conference on Decision and Control (CDC-2014), Los Angeles, USA, December 2014.


Advised Theses

  • Reducing Bidding Complexity in Machine Learning-Based Combinatorial Auctions
    Bachelor Thesis by Nicolas Kuechler. 2017.

  • Computational Bayes-Nash Equilibrium Analysis of Overbidding Strategies in Combinatorial Auctions  
    Bachelor Thesis by Andreas Perschak. 2015.