Rate My Professor Fabio Luciani

Luciani's research adopts a systems immunology approach to dissect T cell responses, developing immunotherapies for cancer and autoimmune diseases. His interdisciplinary work combines experimental immunology with computational tools, including single-cell genomics, multi-omics, machine learning, and bioinformatics. Focus areas encompass antigen-specific T cells in viral infections like influenza and hepatitis C, immunopathogenesis of coeliac disease, CAR T cell therapies for blood disorders and solid tumors, and immune dynamics in ageing. He has produced over 140 peer-reviewed publications, featuring landmark contributions such as the VDJdb database of T-cell receptor sequences (2018) and its extension (2020), high-throughput single-cell sequencing methods (2019), and models of viral evolution in early hepatitis C infection (2011). Recent works address CAR T cell differentiation, rogue T cells in refractory coeliac disease (2025), and transcriptomic signatures in CD8 T memory stem cells (2026). Luciani has attracted over $20 million in funding from NHMRC, ARC, JDRF, NIH, and industry partners including BD Bioscience, supporting projects like immuno-genomics mapping of T cells and AI-driven epitope identification. His innovations include bioinformatic pipelines for integrating single-cell transcriptomes with antigen receptors, haplotype reconstruction from deep sequencing, and statistical models for mutating genomes, influencing public health strategies for viral control.