I currently serve as an Associate Lecturer at the Hogeschool van Amsterdam, within the Department of Biomedical Technology. My academic journey began with a PhD from Vrije Universiteit Amsterdam, specializing in Complex Traits Genetics and Genetic Prediction Modelling.

Post-PhD, I was privileged to secure an NWO Rubicon grant, which enabled me to spend 18 months at the University of Queensland (UQ). There, I studied the genetic risk factors for children with a parent diagnosed with a psychiatric condition. In addition to my research pursuits, I’ve always harbored a keen interest in education. This led me to concurrently design and deliver several analytical data science courses, in addition to teaching various scientific subjects.

Upon my return to the Netherlands, I joined the Hogeschool van Amsterdam (HvA) as an Associate Lecturer. My responsibilities here encompass developing the research trajectory of the Department of Biomedical Technology. The department’s research primarily targets two areas: (1) designing and manufacturing personal health-monitoring sensors, and (2) developing machine learning algorithms to facilitate process automation.

A prime example of this dual focus is the CureQ project. Its dedication to using machine learning models for analyzing hereditary brain diseases not only exemplifies the power of data science in the medical sector but also aligns seamlessly with our department’s research objectives.

As part of the CureQ team, I’m excited to collaborate closely with three applied AI researchers from Hanzehogeschool Groningen in WP5. Our collective aim is to develop algorithms that will augment our understanding of complex disease processes and advance the creation of personalized treatments.