People
Our people
Fellows
Fellows are leading researchers invited to contribute to GlobeDoc Research Hub through collaboration, publications and scientific guidance.
Listed alphabetically.
Dr Niklas Lidströmer
Founder and Research Director
University of Copenhagen Causality in Healthcare AI Hub (CHAI) Karolinska Institutet
Prof. Samir Bhatt
Professor of Machine Learning and Public Health
University of Copenhagen Professor of Statistics and Public Health, Imperial College London
Prof. Paul Bogdan
Associate Professor
Electrical & Computer Engineering, University of Southern California Jack Munushian Early Career Chair
Prof. Søren Brunak
Professor of Disease Systems Biology
Head of Section for Health Data Science and AI, Department of Public Health, University of Copenhagen Visiting Professor, Novo Nordisk Foundation Center for Protein Research
Prof. Efstratios Gavves
Professor of Physical AI
University of Amsterdam Scientific Director, QUVA Deep Vision Lab
Prof. Jørgen K. Kanters
Associate Professor
Director, Laboratory of Experimental Cardiology University of Copenhagen
Prof. Pearse A. Keane
Professor of Artificial Medical Intelligence
UCL Institute of Ophthalmology Consultant Ophthalmologist, Moorfields Eye Hospital, London
Prof. Patty Kostkova
Professor in Digital Health
Director, UCL Centre for Digital Public Health in Emergencies (dPHE), University College London Director, WHO Collaborating Centre for Digital Public Health and Pandemic Preparedness
Dr Thomas Lefèvre
Associate Professor
Sorbonne Paris Nord University (USPN) AP-HP, Department of Public Health IRIS (Inserm, CNRS, EHESS, USPN)
Prof. Elias Mossialos
Cheng Yu Tung Chair in Global Health and Professor of Health Policy
Director, LSE Health, London School of Economics and Political Science Co-Director, European Observatory on Health Systems and Policies
Prof. Bertha Ochieng
Professor
Director, Centre for Primary Care Research Faculty of Health and Life Sciences De Montfort University
Prof. Thomas Ploug
Professor of Data and AI Ethics
Director, Centre for AI Ethics, Law and Policy, Aalborg University
Prof. Fons van der Sommen
Associate Professor
Head of the ARIA Lab, Eindhoven University of Technology (TU/e)
Prof. Niccolò Tempini
Associate Professor
Exeter Lead, EPSRC Causality in Healthcare AI Hub (CHAI), University of Exeter
Prof. Sotirios A. Tsaftaris
Chair in Machine Learning and Computer Vision
Director, Causality in Healthcare AI Hub (CHAI) University of Edinburgh
Prof. Jong Chul Ye
Professor
Chung Moon Soul Mirae Chair & KAIST Endowed Chair Kim Jaechul Graduate School of AI, KAIST Fellow, IEEE
Research Groups
Our research groups bring together nearly 100 researchers, clinicians, developers and students worldwide, working alongside our Fellows. Groups grow continuously, and new sub-groups form as the field develops.
~100 members · 9 research groups · 2 operations teams
AI in Healthcare
Artificial intelligence across the patient journey – including agents with lifelong memory that follow the patient across care settings and countries.
Sub-groups include, e.g. agentic memory, clinical decision support, medical imaging
Technology & Security
Platform development, machine learning and privacy-preserving technologies such as distributed ledgers and homomorphic encryption.
Sub-groups include, e.g. privacy-preserving machine learning, homomorphic encryption, secure infrastructure
Interoperability & Health Data Standards
Making records readable everywhere – HL7 FHIR, the International Patient Summary, ICD-11 and SNOMED CT.
Sub-groups include, e.g. HL7 FHIR, International Patient Summary, ICD-11 mapping
Ethics, Law & Governance
Data protection, legal frameworks, contracts and the ethics of patient co-owned data.
Sub-groups include, e.g. meta-consent, synthetic data ethics, AI regulation
Patients & Clinical Practice
Patient representatives and clinicians ensuring that GPOC meets real needs in care.
Sub-groups include, e.g. usability, patient engagement, clinical workflows
Population Health & Epidemiology
Using patient-owned data, with consent, for research, surveillance and public health across populations.
Sub-groups include, e.g. surveillance, vaccination coverage, mobile populations
Global Health & Implementation
Adapting GPOC for low-resource, humanitarian and cross-border settings, including refugees and displaced populations.
Sub-groups include, e.g. low-resource settings, displaced populations, health-system pilots
Precision Medicine & Biomedical AI
AI applied to biological and clinical data – microbiome, omics, genetics and biomarkers – for more precise prevention, diagnosis and treatment.
Sub-groups include, e.g. microbiome, omics, biomarkers
Frontier AI: Agentic, Multimodal & Quantum
Next-generation methods for health: AI agents that act on a patient's behalf with consent, multimodal models combining text, images, signals and omics, and quantum and quantum-inspired computing for privacy-preserving analysis.
Sub-groups include, e.g. agentic AI, multimodal foundation models, quantum computing
Operations
Partnerships & Funding
Research collaborations, grants and philanthropic support.
Contact: via the contact form, topic “Partnership or pilot”.
Communications & Outreach
Scientific communication, outreach and coordination of contributors.
Contact: via the contact form, topic “Press or media”.
Associates
Associates are representatives of international, governmental and humanitarian organisations who contribute to the GPOC programme in an advisory or collaborative capacity. The Associates network is currently being formed.
GPOC builds on a global survey answered by all 193 UN member states and 18 international organisations. The Associates network continues this dialogue and welcomes representatives of other organisations working on health data, digital health and humanitarian care.
Read about the GPOC ProgrammeAssociation Board
Legal board of the Swedish non-profit association. Scientific direction is set by the Research Director and Fellows.
