Daniel Beck

Dr. Daniel Beck is a Senior Lecturer in the School of Computing Technologies at RMIT University. His research focuses on interdisciplinary areas including Artificial Intelligence, Machine Learning, Information Systems, and their applications in Health Services and Linguistics. He actively supervises projects exploring topics like Large Language Models in design empathy, Alzheimer’s disease progression modeling, and multilingual NLP tasks. His work bridges computational methods with real-world challenges in healthcare, education, and technology ethics.

Research Interests: His key areas include AI ethics, graph-based biomedical discovery, Bayesian modeling for disease trajectories, and NLP applications in clinical documentation. He contributes to advancing methodologies such as graph embeddings, state-space emotion modeling, and quality estimation in machine translation.

Teaching & Supervision: Beck coordinates courses in Computing Technologies and mentors projects like 'Between activism and literacy: The mediatization of data journalism in Indonesia' and 'Can large language models provide investment advice like humans?'

Publications: His 2023-2025 works emphasize AI’s role in healthcare (e.g., Alzheimer’s biomarker analysis), ethical AI autonomy debates, and multimodal NLP innovations. Recent studies highlight contributions to medical record generation via synthetic dialogue and empathic accuracy prediction in design contexts.