Sebastiano Barbieri
Associate Professor · UQ Experts (university-wide) · The University of Queensland
Quick answer: Sebastiano Barbieri is Associate Professor at The University of Queensland. Sebastiano Barbieri shows an active PhD hiring signal as of 2026-09-17.
⭐ Available for supervision. Available projects: Machine learning for the generation and distribution of synthetic electronic medical records (EMRs) representative of the Australian population. This project will develop a novel software and data platform, comprising nationally representative synthetic EMR data, to enable safe and ethical Australian innovation in clinical artificial intelligence.
Research interests
Dr. Sebastiano Barbieri is Associate Professor and Principal Research Fellow at the Queensland Digital Health Centre, University of Queensland (UQ) and Adjunct Associate Professor at the Centre for Big Data Research in Health, University of New South Wales (UNSW). His work lies at the intersection of machine learning and healthcare, where he develops innovative computational methods to tackle pressing challenges in medicine. Aiming to improve patient outcomes and streamline clinical workflows, Dr. Barbieri develops machine learning models tailored to real-world healthcare applications. His current research spans risk prediction using electronic medical records, medical image processing, and the safe and effective integration of AI into clinical decision-making processes. A strong advocate for responsible AI in healthcare, Dr. Barbieri champions the use of emerging technologies such as synthetic data generation and federated learning. These approaches not only enhance data accessibility and privacy but also accelerate the development of robust, data-driven solutions for digital health.
Machine learning and healthcare, risk prediction using electronic medical records, medical image processing, safe and effective integration of AI into clinical decision-making processes, responsible AI in healthcare, synthetic data generation, federated learning
Selected publications (since 2023)
[2026] Current progress and obstacles for automated classification of causes of death based on death certificates: A systematic review. Li, Chaiquan, Meng, Qingyu, Wells, Sue, Barbieri, Sebastiano, Jackson, Rod and Poppe, Katrina (2026). International Journal of Medical Informatics, 219 106549, 106549-219. doi: 10.1016/j.ijmedinf.2026.106549
[2026] Postoperative Morbidity of Facial Fracture Repair: A National Big-Data Analysis of 4805 Cases Across 16 Years. Karamitros, Georgios, Catic, Armin, Galdyn, Izabela, Golinko, Michael, Pontell, Matthew, Braun, Stephane A., Lineaweaver, William C., Redett, Richard J., Barbieri, Sebastiano and Lamaris, Gregory A. (2026). Journal of Craniofacial Surgery. doi: 10.1097/scs.0000000000013319
[2026] The FACT-Score: Development and Temporal Validation of a
Frequently asked questions
Is Sebastiano Barbieri hiring PhD students at The University of Queensland?
Yes. As of 2026-09-17, Sebastiano Barbieri's faculty page shows a PhD hiring signal: Available for supervision. Available projects: Machine learning for the generation and distribution of synthetic electronic medical records (EMRs) representative of the Australian population. This pro.
What does Sebastiano Barbieri research?
Dr. Sebastiano Barbieri is Associate Professor and Principal Research Fellow at the Queensland Digital Health Centre, University of Queensland (UQ) and Adjunct Associate Professor at the Centre for Big Data Research in Health, University of New South Wales (UNSW). His work lies at the intersection o
Data last updated: 2026-09-17 · Source: phd-match.com faculty database.
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