Gianluca Milano, PI of the ERC MEMBRAIN, is currently Senior Researcher at the Italian National Institute of Metrological Research (INRiM). He holds a Ph.D. in Physics cum laude from Politecnico di Torino in collaboration with the Italian Institute of Technology (IIT), a bachelor’s and master’s in physics from the University of Torino. He his author of more than 50 articles in peer-reviewed international journals, 2 patents, and gave more than 10 invited talks at international conferences. Besides being the responsible for national and European projects at INRiM, he was coordinator of the European project MEMQuD that involved 15 European partners including universities, research centers and industries. He is associate editor of APL Machine Learning, and he is co-organizer of the workshop Deep Learning meets Neuromorphic Hardware. He was selected as “Emerging Leader 2022” by the Journal of Physics D: Applied Physics Editorial Board, he received the Advanced Materials Award 2025 from the International Association of Advanced Materials for the notable and outstanding research contribution in the field of Advanced Materials Science & Technology, and he received the NEST prize for Nanoscience in 2021.

ORCID ı Google Scholar ı GitHub ı LinkedIn

Davide Cipollini is a Research Fellow at the Istituto Nazionale di Ricerca Metrologica (INRiM), working on the ERC-funded MEMBRAIN project. He holds Bachelor's and Master's degrees in Physics from Sapienza University of Rome. He earned a PhD cum laude in Physics and Artificial Intelligence from the University of Groningen, with a thesis on multiscale network characterization and modeling of materials for in-materia computing. His doctoral research was conducted within and supported by the EU MSCA-ITN program MANIC and the Groningen Cognitive Systems and Materials Center (CogniGron) and included research visits at ETH-INI, IBM, CIMaINA, and CREF, among others. During his PhD, he authored 7 articles in peer-reviewed international journals, 6 as first author, and collaborated with researchers from international institutes, research centers, and industries. His scientific interests lie at the intersection of statistical physics, complex networks, and computation.

ORCID ı Google Scholar ı GitHub ı LinkedIn