I am a Postdoctoral Fellow hosted by Prof. David C. Parkes at the Harvard School of Engineering and Applied Sciences. I am broadly interested in topics at the intersection of machine learning and mechanism design.

I earned my Ph.D. in Computer Science at the University of Zurich, where I was advised by Prof. Sven Seuken. In my thesis, I have introduced different iterative combinatorial auctions that use preference elicitation algorithms based on statistical learning. These algorithms allow the auctioneer to exploit prior data about bidders’ valuations to reduce the costs of elicitation.

During Summer 2016, I was a research intern at the Microsoft Research Lab – New York City, where I worked on Bayesian methods for market clearing advised by Sébastien Lahaie.

I hold a double M.Sc. in Mathematics from Turin Polytechnic and Milan Polytechnic and a B.Sc. in Mathematics from Turin Polytechnic. From 2012 to 2014, I also attended the Alta Scuola Politecnica, an educational joint venture of Milan Polytechnic and Turin Polytechnic that focuses on multidisciplinarity and innovation.


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