Collaborative Immunogenics and AI Group

The Collaborative Immunogenomics and AI Group, led by Professor Fabio Luciani at the Westmead Institute for Medical Research and UNSW Sydney, integrates immunology, single-cell genomics, and artificial intelligence to understand how T cells drive immune-mediated diseases and cancer. The group focuses on defining antigen-specific and clonally expanded lymphocyte populations using multi-omics approaches, including single-cell transcriptomics, immune repertoire sequencing, and epigenomics, combined with advanced computational modelling.

The team is developing AI-based models to predict structural and functional properties of T cell receptors and antibodies, with the aim of enabling precision immunotherapies.

Research spans autoimmune diseases, including coeliac disease and type 1 diabetes, as well as CAR T-cell biology and T-cell malignancies, with a strong emphasis on translating immunogenomic discoveries into therapeutic strategies.

The group is multidisciplinary, comprising computational biologists, immunologists, and clinician-scientists, and operates in close collaboration with clinical partners, international consortia, and industry. Through this integrated approach, it aims to bridge fundamental immunology with data-driven therapeutic innovation.