CV

Ph.D. Computational (Clinical) Neuroscience

• Physiological modulation of Learning and Decision-Making
  • Developed computational models to probe the influence of physiological signals on brain function.
  • Employed reinforcement learning (machine learning) models and performed statistical analysis (e.g. regression).

M.Sc. Neuroscience and Cognition

• Research Internship 1 at the University of North Carolina in Chapel Hill (USA).
• Research Internship 2 at Universitair Medisch Centrum Utrecht.
• Master Thesis at Brain Center Rudolf Magnus.

B.Sc. Chemistry

• Bachelor Thesis at the Medicinal Chemistry department of the University of Utrecht.

Clinical Data Scientist

• Data and Technology work package leader for a European project.
• Standardised data using the Observational Medical Outcome Partnership - Common Data Model (OMOP-CDM).
• Implemented a federated learning network to ensure that data are Findable, Accessible, Interoperable and Reusable (FAIR).

Postdoctoral Researcher and Data Curator

• In-depth curation of neuroscience data and associated metadata in a knowledge graph database.
• Optimised curation workflows and automated data processing pipelines.
• Co-developer of the openMINDS metadata model.

Doctoral and Postdoctoral Researcher

Client Liason

Research Associate

Open Metadata Initiative

• A metadata framework for linked data in neuroscience.

• Runner-up 3 Minute Thesis Competition at the University of Oxford

• Medical Research Council Doctorate Scholorship

• Antelope@university award for future female academic leaders

• Scholarship David de Wied Stichting
• Scholarship Fundatie van de Vrijvrouwe van Renswoude
• Scholarship Jo Kolk Studiefonds
• Travel grant K.F.Hein fonds