Dr. Slade Matthews is a Senior Lecturer specializing in computational pharmacology and toxicology. His research focuses on predicting chemical properties and bioactivity using Python-based QSAR models and cheminformatic techniques such as molecular fingerprinting, quantum molecular calculations, clustering, and substructure analysis. He earned his PhD in 2007 on machine learning in biomedical data and has published 48 peer-reviewed papers (Scopus h-index: 18). In 2025 Slade published a state-of-the-art graph transformer-based QSAR model for Ames mutagenicity prediction. He serves on the TGA Medical and Scientific Evaluation Services Panel and the NSW Poisons Advisory Committee both since 2010. In 2024, he was elected to the ASCEPT Board and awarded Fellowship of ACTRA in 2025. Based at the University of Sydney, Slade collaborates with academic and regulatory partners to advance public safety through application of in silico toxicology and is passionate about mentoring students and interdisciplinary research bridging chemistry, biology, and data science.