Michele Loi

Michele Loi is a researcher in algorithmic fairness and a co-author of frameworks and toolkits for group fairness metrics and bias audits in machine learning. Holding a Ph.D. in Political Theory from LUISS Guido Carli University, Michele has worked in various roles, including as a senior consultant at Health Catalyst and as a postdoctoral researcher at the University of Zurich focusing on digital ethics. Currently, Michele provides private consulting in AI ethics for the insurance field and serves as a senior science manager at AlgorithmWatch, contributing to projects on auditing algorithms for systemic risks. Additionally, Michele is an adjunct professor at Università degli Studi di Milano, where they teach AI, ethics, and law.