معرفی
David Barber is a Professor and Director of the UCL Centre for Artificial Intelligence and the UKRI Centre for Doctoral Training in Foundational AI. His research focuses on probabilistic modelling, machine learning, and Bayesian reasoning. He is also a Distinguished Scientist at UiPath and has contributed significantly to tools like the BRML toolbox and Julia-based probabilistic inference engines. His work spans theoretical advancements in AI, medical imaging analysis, and ethical AI practices.
Education: Not explicitly stated in the provided texts.
Research Interests: Probabilistic Modelling, Bayesian Reasoning, AI Ethics, Medical Imaging, and Generative Models. His book, Bayesian Reasoning and Machine Learning, is a foundational text in the field.
Publications: Recent works address topics like autonomous UI exploration, diffusion models, algorithm auditing, and mortality prediction in medical contexts. These contributions highlight his interdisciplinary impact across computer science, healthcare, and ethics.
Labs/Teams: Leads the UCL Centre for Artificial Intelligence and collaborates on projects involving survival analysis and AI ethics through the UKRI CDT.
