Curriculum vitae
Nurse and quantitative researcher — nursing workforce, team composition, and health-data methods.
Experience
2026 –
Postdoctoral researcher, University of Antwerp — Faculty of Medicine and Health Sciences
Infectious-disease modelling and health economics.
Oct 2022 – Sep 2026
PhD fellow, University of Antwerp
Balanced Care Teams: a systems approach to nursing workforce design. Built a framework for team composition (heterogeneity, stability, structured collaboration) and a measure of collaboration from scheduling data.
Oct 2019 – Oct 2022
Junior researcher (project lead), University of Antwerp
Balanced Nursing Teams (BNuT) project — integrating hospital data with a 360-degree survey into interactive dashboards. Designed the survey, co-developed the data architecture, and led procurement with an external software firm.
Oct 2019 – May 2022
Emergency nurse, Ziekenhuis Netwerk Antwerpen
Urban emergency department (>110 patients/day); COVID-19 preparedness and prehospital work.
Mar 2016 – Sep 2019
Intensive care nurse, University Hospital Leuven
Tertiary medical ICU, alongside the Master in Nursing and Midwifery. Master’s thesis reduced catheter-related infections by 80%.
Jul 2015 – Feb 2016
Emergency nurse, University Hospital Leuven
Education
2026
PhD in Medical Sciences, University of Antwerp
2019
Master in Nursing & Midwifery, University of Antwerp
2015
Bachelor in Intensive and Emergency Care, Hogeschool UCLL
2014
Bachelor in Nursing, Hogeschool UCLL
Research stay
2025
Visiting researcher, Erasmus MC — DataHub, Rotterdam. Machine learning for ICU patient-acuity assessment and resource allocation.
Additional education
2026
ESSA and BEHAVE summer schools on agent-based modelling
2025
Summer schools on Bayesian Optimization (UHasselt) and Epidemiological Modelling & Health Economics (University of Antwerp)
2021 – 2024
AI & Machine Learning for Biomedical Research (VAIA, 2024); Python & Data Science (Codecademy); Micro Organizational Behaviour (KU Leuven); High-Performance Computing (University of Antwerp)
Teaching
2022 – present
Advanced Statistics — Master’s course, University of Antwerp
2024 – present
Artificial Intelligence in Healthcare — introductory lecture, University of Antwerp
2024 – present
Statistical consultant — study design, analysis and review for research teams
Supervision
2025 – present
PhD mentor — E. Claes: Optimalisatie van spoedgevallenzorg via datagedreven beslissingen
Show all Master’s theses supervised (10)
Master in Nursing and Midwifery, University of Antwerp
2025 – 2026
Jansen, J. — kennistest AI-basisprincipes bij verpleegkundigen en studenten verpleegkunde · Dijckmans, E. — kennistest AI in de gezondheidszorg bij artsen en studenten geneeskunde · Installé, S. — datagedreven leiderschap in Vlaamse ziekenhuizen · Arntz, A. — lighting conditions and video-assessed clinical deterioration (NIPDS)
2024 – 2025
Van Oorschot, C. — absenteïsme bij zorgpersoneel in een ziekenhuisnetwerk · De Schrijver, C. — meetinstrument voor datagedreven besluitvorming bij leidinggevenden (Delphi)
2022 – 2024
Neyens, L. — machine-learningmodel voor triage en patiëntenallocatie op spoed · Michielsen, A. — voorspellende factoren voor ligduur op spoedgevallen
Other programmes
2024 – 2025
Goos, M. & Vanuffelen, Z. — pre-implementatie van BNuT binnen AZ Klina (Organisation and Management) · Van Reusel, C. — software spin-off business model (Applied Economic Sciences)
Conferences
2025
Invited keynote (BVVS) on AI in nursing research; invited talk (CRIC) on a retrieval-augmented generation system; poster (ICN, Helsinki) on multiple job holding
2024
Invited and oral talks (CRIC; EIASM, Barcelona) on a collaboration-intensity metric; poster (Care4) on balanced care teams
Projects
BNuT
Balanced Nursing Teams platform — app.bnut.eu. Centralises and visualises nursing data across institutions, combining survey and administrative data into interactive dashboards.
Other
A retrieval-augmented student-query assistant; a citation verification tool for grading; an agent-based model dashboard for workforce policy scenarios.
Peer review & service
- Journals (2024–2026)
- International Journal of Nursing Studies Advances, BMC Nursing, International Nursing Review, Journal of Advanced Nursing, Nursing Outlook, Journal of Happiness Studies, BMC Medical Education. Verified on ORCID / Web of Science.
- Policy (2025)
- External expert, “Pilot study on a new payment system for home nursing” (Van den Heede et al.).
Skills
- Statistical modelling
- Factor analysis, regression, Bayesian and regularised regression, survival analysis, multilevel modelling, uncertainty quantification.
- Programming & data
- Python (pandas, NumPy, scikit-learn, PyMC/NumPyro, BoTorch, Mesa), PostgreSQL, R, SPSS, Git; data engineering, agent-based simulation, high-performance computing.
- Clinical
- Nursing workforce analytics, team-composition metrics, emergency and ICU experience.