Currently working as a Statistics Leader at the Statistics and Data Science Innovation Hub at GSK.

Experience in many therapeutic areas, including cardiovascular, metabolic and infectious diseases using a wide range of methods (joint models, dynamic predictions, mixed-models, survival analysis, multi-state models).

For the past few years I have also been providing scientific and regulatory advice as a part-time methodological assessor at CBG-MEB, which is part of the European regulatory medicines network.

I am also actively involved with software development and worked closely with Prof. Dimitris Rizopoulos and Pedro M. Afonso in the development of R package JMbayes2.

In the past I worked at the Erasmus University Medical Center as a PhD candidate and later as a post-doctoral researcher. During my years at Erasmus MC, I worked on the development of novel methodology with a focus on joint models for longitudinal & time-to-event data. More specifically, during the course of my PhD at the Department of Biostatistics and the Department of Thorax Surgery at the Erasmus University Medical Center I worked on the development of joint models that can incorporate intermediate events (such as treatment changes, side-effects etc.) and time-varying treatments during follow-up as well as the development of individualized dynamic prediction tools which are adaptive to future changes regarding the occurrence of intermediate events or/and treatment changes. This work was done under the supervision of Prof. Dimitris Rizopoulos, Prof. Johanna J. M. Takkenberg and Dr. Mostafa M. Mokhles.