Background

Cynthia obtained her BSc (2017) and MSc (2019) in Econometrics from Erasmus University Rotterdam, where she focused on quantitative problem solving using machine learning techniques. Her thesis concerned creating personalised purchase frequency predictions in a business-to-business setting.

Her current interests include methodological research on the class imbalance problem in clinical prediction modelling.

Publications

Yang, C., Khalid, S., Blacketer, C., ..., Rijnbeek, P.R., Reps, J.M. (2021). A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data. Computer Methods and Programs in Biomedicine, 211, 106394. https://doi.org/10.1016/j.cmpb.2021.106394.