Wendy works in the field of health informatics, with as main topics data science, personalized eHealth technologies, Clinical Decision Supports Systems (CDSS), and the application of interoperability and machine learning to optimize the referral and treatment of patients in healthcare. Currently, this research is mainly focused on patients with chronic musculoskeletal pain.

She was involved at RRD (www.rrd.nl) as researcher in the H2020 Back-UP project (http://backup-project.eu/), which aims to create a predictive model to support effective and efficient treatment of neck and lower back pain. Currently, she leads the Pioneers in HealthCare (PIHC) PReferral project on the optimization of existing care pathways and referrals of patients with chronic musculoskeletal pain in 1st, 2nd and 3rd care based on artificial intelligence.

Currently, she work 1 day a week at the University of Twente in the biomedical signals and system group (https://www.utwente.nl/en/eemcs/bss) within the Personalized eHealth Technology Program (https://www.utwente.nl/en/techmed/research/research-programmes/ehealth/) and 4 days a week as senior data scientist at Univé, a cooperative nonprofit insurance company in the Netherlands.