I am an internal medicine physician at Hospital da Luz Lisboa and clinical analytics lead of the Value Based Health Office at Luz Saúde, where I work on patient-reported outcomes, clinical indicators and population risk stratification.
I hold a PhD in biomedical engineering from Instituto Superior Técnico, Universidade de Lisboa, on multimorbidity measurement and risk prediction from clinical data. I teach artificial intelligence in medicine at the Faculty of Medicine of the University of Lisbon and machine learning at Católica Medical School, and serve on the Artificial Intelligence Committee of the Ordem dos Médicos.
Current roles
- Clinical analytics lead, Value Based Health Office, Luz Saúde
- Internal medicine physician, Hospital da Luz Lisboa
- Visiting Professor of Artificial Intelligence in Medicine, Faculty of Medicine, University of Lisbon
- Lecturer in machine learning and research data management, Católica Medical SchoolSupervision of MSc and PhD theses in health data science
- Member, Artificial Intelligence Committee (CPIA), Ordem dos Médicos
- Member, Multimorbidity Working Group, European Federation of Internal Medicine (EFIM)
Research
- Principal investigator, IntelligentCare (2020–2023)Outcome-centred decision support for patients with multimorbidity
Education
- PhD in Biomedical Engineering, Instituto Superior Técnico, Universidade de Lisboa (2026)Thesis: Leveraging Data Science for Multimorbidity Measurement and Risk Prediction from Clinical Data
- Portugal Clinical Scholars Research Training, Harvard Medical School
- Postgraduate degree in Business Analytics, Data Science and Big Data, Católica Lisbon
- Residency in Internal Medicine, Hospital da Luz Lisboa
- MD, NOVA Medical School
Selected publications
- Multimorbidity measurement strategies for predicting hospital visitsBMC Health Services Research, 2026
- Large language models approach clinician performance in ESC cardiovascular risk stratification: a vignette-based benchmark studyEuropean Heart Journal – Digital Health, 2026
- Workforce disruptions and the redefinition of clinical roles: state of the art of artificial intelligence in healthcareActa Médica Portuguesa, 2026
- Zero-shot learning for clinical phenotyping: comparing LLMs and rule-based methodsComputers in Biology and Medicine, 2025
- Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysisBMC Medical Informatics and Decision Making, 2024
- Impact of a wearable-based physical activity and sleep intervention in multimorbidity patients: protocol for a randomized controlled trialBMC Geriatrics, 2023
- The quiet revolution of big data in medicineMedicina Interna, Revista da Sociedade Portuguesa de Medicina Interna, 2017
- Integrating human-centred AI in clinical practice: a guide for health and social care professionalsChartered Institute of Ergonomics & Human Factors, 2024 (contributor)
Selected presentations
- AI for risk stratification and complexity measurement in multimorbidityEFIM webinar “AI in Multimorbidity”, invited talk, 2026
- Poster, Machine Learning for Healthcare Conference (MLHC), 2025