Curriculum vitae
Curriculum vitae
Nurse and quantitative researcher. Nursing workforce, team composition, health-data methods, and epidemiological modelling.
Experience
Oct 2026 –
Postdoctoral researcher, University of Antwerp, Family Medicine and Population Health
Oct 2022 – Sep 2026
PhD fellow, University of Antwerp
Oct 2019 – Oct 2022
Junior researcher (project lead), University of Antwerp
Oct 2019 – May 2022
Emergency nurse, Ziekenhuis Netwerk Antwerpen
Mar 2016 – Sep 2019
Intensive care nurse, University Hospital Leuven
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
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 at the University of Antwerp
2024 – present
Artificial Intelligence in Healthcare, introductory lecture at the University of Antwerp
2024 – present
Statistical consultant, study design, analysis and review for research teams
Supervision
2025 – present
PhD mentor to 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
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.