Dan Andrews

Dan Andrews is an Associate Professor at the Australian National University holding a Jubilee Joint Fellowship between the School of Computing and John Curtin School of Medical Research, with primary affiliation in the Division of Immunology and Infectious Diseases. His research profile includes 54 publications, 9 research projects, and significant contributions to immunogenetics with over 17,000 citations and an h-index of 36.

His educational credentials comprise a BSc (Hons) and PhD. Research interests span immunology, genetics, and bioinformatics with emphasis on autoimmune diseases, infectious disease mechanisms, B cell biology, and computational genomics for clinical applications.

Recent publications (2021-2022) demonstrate convergence of machine learning, genomic analysis, and immunology to address complex biomedical problems including kidney disease prediction, protein stability assessment, and B cell dysfunction in vaccination responses. This work bridges computational science with translational medical research through multi-omics approaches.

No specific scientific awards are documented in the provided materials.

Andrews is registered to supervise graduate students and serves as Co-Investigator on nine major research projects including:

• Hudson Genome Bioinformatics Platforms Service (2025-2028)
• Improving genetic diagnosis of autoimmune disease through multi-omics (2023-2027)
• Personalised medicine for complex autoimmunity (2023-2027)
• Enhanced data assets for Genomic Medicine (2021-2023)
• AUTO-CHECK study on immune-related adverse events in cancer therapy (2017-2022)

These initiatives feature international collaborations focused on genomic medicine implementation, autoimmune disease mechanisms, and cancer immunotherapy safety. Within the Division of Immunology and Infectious Diseases, he contributes to research teams investigating immune responses to pathogens, vaccine development, and molecular mechanisms of immune disorders through integrated computational-experimental approaches.