Dr. Achilleas Livieratos, PhD, MRSB, is a distinguished biomedical researcher whose work bridges immunology, infectious diseases, circadian biology, and artificial intelligence applications in health sciences. His research integrates advanced computational methods, including machine learning and multi-agent transformer frameworks, to enhance evidence generation, vaccine immunology, and drug safety analytics. He has published extensively in leading journals such as Vaccines, Pathogens, Viruses, eClinicalMedicine, and Value in Health, contributing to global understanding of immune response dynamics, precision medicine, and outcomes research. Notably, his development of MetaMind, an AI-driven framework for automated network meta-analyses, and his studies on circadian influences on influenza vaccine immunity have been recognized as groundbreaking contributions. His investigations into immune durability across respiratory viruses, including RSV, SARS-CoV-2, and influenza, as well as his exploration of alternative therapies for long COVID, have significantly advanced clinical and translational knowledge. As a lead collaborator with Stanford University and the University of California, San Francisco, Dr. Livieratos has directed international research initiatives on infectious disease modeling, biomarker discovery, and the application of AI in health outcomes research. His earlier work at the University of Oxford produced landmark discoveries in neurogenetics and circadian disruption, underpinning his multidisciplinary expertise. Through leadership in European Pharma and AI consortia, he continues to drive innovation in predictive health analytics and precision therapeutics, demonstrating an exceptional fusion of biomedical insight, computational innovation, and translational research impact.

Profiles : Google Scholar | Scopus