I am a Postdoctoral Research Associate at the Brown Data Science Initiative working with Amy Greenwald. In lay terms, my goal is to improve the design of various economic platforms, such as electricity trading platforms, spectrum auctions, and internet advertising. I aim to make these platforms more efficient and fair in allocating resources. My research methods include two main aspects: first, using machine learning techniques to inform platform design decisions; and second, studying the behavior of automated agents in market settings to better anticipate and evaluate the consequences of these decisions.
Before joining Brown University in August 2022, I was a Postdoctoral Fellow at the Harvard School of Engineering and Applied Sciences, hosted by David Parkes. I earned my Ph.D. in Computer Science in 2020 from the University of Zurich, where I was advised by Sven Seuken. During Summer 2016, I was a research intern at the Microsoft Research Lab – New York City, where I was 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.