ProfessorPayam Barnaghi

Payam Barnaghi's main research goal is to develop AI and machine learning solutions for healthcare and create affordable and scalable digital systems that can be applied across a range of health conditions. He works on machine learning, generative AI, digital biomarkers, adaptive algorithms, and computational neuroscience to solve problems and develop new technologies for future healthcare systems.


Recent Projects:

- Principal Investigator, Giovanna: A Large Language Model for Scientific Publications in Dementia, The UK Dementia Research Institute (UK DRI), Apr 2024 - Mar 2025.

- Principal Investigator, Support tools to enhance participants retention in mental health clinical trials, Discretionary Award, Wellcome Trust, Apr 2024 - Mar 2024.

- Principal Investigator, Digital Consultation and Predictive Modelling Enabled by Electronic Health Record (EHR) Data, Royal Academy of Engineering and Great Ormond Street Hospital, Apr 2024 - Mar 2029.

- Principal Investigator, PROTECT/Resilient: Predictive approaches in managing long-term conditions: from remote monitoring data to digital biomarkers, The Engineering and Physical Sciences Research Council (EPSRC)/National Institute for Healthcare Research (NIHR), Nov 2022 - Oct 2025.

- Principal Investigator, Translational Machine Intelligence Programme, Care Research and Technology Centre, The UK Dementia Research Institute (UK DRI), Apr 2023 - Mar 2028.

- Principal Investigator}, Infrastructure for a Trusted Research Environment to Support Cost-effective and Flexible Processing of Healthcare Data, UKRI World Class Laboratories Award, MRC, Dec 2021 - Jun 2022.

- Principal Investigator, Biologically inspired continual learning models for personalised paediatric digital consultation, PhD studentship support, the Great Ormond Street Hospital for Children, Nov 2023 - Oct 2027.