Professor Jiangning Song is a Professor (Research) in the Department of Biochemistry and Molecular Biology within the School of Biomedical Sciences, Faculty of Medicine, Nursing and Health Sciences at Monash University, Australia. He serves as Group Leader in the Cancer and Infection and Immunity Programs at the Monash Biomedicine Discovery Institute and is Director of the AI-driven Bioinformatics and Biomedicine Laboratory. He received his PhD in Computer Science from Monash University. Professor Song specializes in artificial intelligence, bioinformatics, comparative genomics, cancer genomics, bacterial genomics, computational biomedicine, data mining, infection and immunity, machine learning, proteomics, and biomedical big data analytics. His research leverages heterogeneous data modeling, advanced machine learning, and analytics to address challenges in infection and immunity, cancer biology, and pharmaco-informatics. He holds positions including Associate Investigator of the ARC Centre of Excellence in Advanced Molecular Imaging and membership in the Monash Data Futures Institute, Alliance for Digital Health at Monash, and Centre to Impact Antimicrobial Resistance, where he chairs the Bioinformatics and Computational Biomedicine Group. Professor Song has secured over 35 grants totaling approximately $20 million as chief investigator. He has developed more than 60 bioinformatics tools and webservers, including iFeature, iLearn, and Procleave, which are widely used by the international research community. He serves as Associate Editor for journals such as IEEE Journal of Biomedical and Health Informatics, BMC Bioinformatics, and Genomics, Proteomics & Bioinformatics, and on editorial boards of several other publications. He has organized international conferences and serves on program committees for more than 20 conferences in bioinformatics and related fields. Professor Song supervises PhD students and has successfully guided 11 PhD and 3 master’s students to completion.