Cláudia Brito is an Assistant Researcher at INESC TEC and an Invited Assistant Professor at the University of Minho. Her research focuses on distributed and privacy-preserving machine learning, with applications to healthcare, federated learning, and secure large-scale data analytics. She also explores storage and energy-aware systems for deep learning workloads, aiming to improve efficiency and sustainability in large-scale infrastructures. Looking forward, her research roadmap is anchored on AI for Systems and Systems for AI, with HPC infrastructures as a critical domain to scale efficiency, dependability, sustainability, and adaptability. She has published in reputable venues such as IEEE Access, IEEE JBHI, ACM SAC, and EPIA, and has contributed to several national and international research projects, including Green.Dat.AI, AIDA, BigHPC, PAStor, and BCD.S+M. She is co-PI of the BringTrust project on cybersecurity in CI/CD pipelines and PI on three EuroHPC projects (i.e., federated learning for Alzheimer’s disease classification and optimization of LLMs training and inference), having access to large European HPC infrastructures (Deucalion, Karolina, Marenostrum). Her contributions extend to program committees and artifact evaluation boards of top-tier conferences (HPCA, EuroSys, OSDI, SOSP, MLSys) and journals (IEEE TDSC). Recently, a framework to which she contributed was highlighted by the European Commission’s Innovation Radar for advancing AI energy efficiency.