I am a Postdoctoral Research Associate at the Brown Data Science Initiative working with Amy Greenwald. My research focuses on the intersection of artificial intelligence and economics, with an emphasis on leveraging machine learning methods to design electronic market platforms.
Given the latest advancements in AI, I have expanded my research interests to include the societal effects of AI and the ongoing conversation about AI regulation. In line with these interests, I have collaborated with Linda Clark to co-design and co-teach the course "Data, Ethics, and Society" (DATA0080) at Brown University. The course serves as a critical platform for discussing the ethical paradigms and social dynamics shaped by the data-intensive technologies of our era.
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.