Marco works in quantum information theory, focusing on quantum statistical inference and communication, both in discrete and continuous variables. His contributions include quantum generalizations of statistical learning theory and statistical primitives, characterizing finitely correlated states, learning algorithms for many-body systems, and bounds on quantum capacities. He has recently been working on a representation-theoretic approach to understand quantum entropies.

Marco studied Physics at the University of Pisa and Scuola Normale Superiore and received his PhD from Scuola Normale Superiore in 2021, supervised by Vittorio Giovannetti. He subsequently held a postdoctoral position at the Autonomous University of Barcelona, working with John Calsamiglia and Andreas Winter, where he obtained a Juan de la Cierva scholarship. He later joined the University of Copenhagen as a postdoctoral researcher, in the group led by Matthias Christandl. Finally, he joined QURIOSITY as a chargée de recherche (CRCN) in July 2025.