David Barber
Barber’s main AI and machine-learning research interest is probabilistic modeling. This approach builds models that can represent uncertainty in data and predictions. As of October 2026, Barber directs UCL’s Centre for Artificial Intelligence and the UKRI doctoral-training centre in Foundational AI. Barber is a scientist at UiPath and works on AI ventures including HumanLoop for language-model prompts and Vectify for retrieval-augmented generation. His work links research and applied AI.
- Now at
- University College London and UiPath
- Works
- 192
- Citations
- 5,548
- h-index
- 31
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
As of October 2026
Probabilistic approaches to learning
Barber’s main AI and machine-learning research interest is probabilistic modeling. This approach builds models that can represent uncertainty in data and predictions.
-
As of October 2026
Research and doctoral education
Barber directs UCL’s Centre for Artificial Intelligence and the UKRI doctoral-training centre in Foundational AI.
-
As of October 2026
Applied AI work
Barber is a scientist at UiPath and works on AI ventures including HumanLoop for language-model prompts and Vectify for retrieval-augmented generation. His work links research and applied AI.
Sources and credits
Photo: davidbarber.github.io; About · David Barber; creator not stated. License: Not stated by source. Source: davidbarber.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.