Brian Chapman is an Honorary Associate Professor in the School of Computing and Information Systems within the Faculty of Engineering and Information Technology at the University of Melbourne. He specializes in Health & Biomedical Informatics, with expertise in biomedical data science. A native of the United States, Dr. Chapman studied electrical engineering and applied mathematics prior to earning a PhD. Prior to joining the University of Melbourne, where he served as Associate Professor from 2020 to 2025, Dr. Chapman held faculty positions at other institutions.

Chapman's research focuses on artificial intelligence and machine learning applications in healthcare, including natural language processing for radiology text report classification, deep learning for medical image analysis, and Bayesian networks for clinical prediction. Key publications include "Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification" (Artificial Intelligence in Medicine, 2019), "Deep learning to classify radiology free-text reports" (Radiology, 2018), "Automated lung segmentation in X-ray computed tomography: development and evaluation of a heuristic threshold-based scheme" (Academic Radiology, 2003), "Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm" (Journal of Biomedical Informatics, 2011), "Extending the NegEx lexicon for multiple languages" (Studies in Health Technology and Informatics, 2013), and "iDASH: integrating data for analysis, anonymization, and sharing" (Journal of the American Medical Informatics Association, 2012). Recent works feature "External Validation of a Bayesian Network for Sepsis Mortality Prediction," "Deep Learning-Based Cascade 3D Kidney Segmentation Method," "Analyzing the Spread of Informatics with PubMed," and studies on sociodemographic disparities in personal electronic health record access. He contributed to digital health education programs and delivered a plenary presentation at MEDINFO 2023 on patient empowerment. Chapman also serves as the Melbourne Medical School representative on the Education and Workforce Development Steering Group.

Professional Email: brian.chapman@unimelb.edu.au