Tim van den Broek

Research area

My research focuses on digital health, with a clear emphasis on digital biomarkers, wearables, and clinical data science. As a data scientist, methodologist, and biostatistician, I design and analyze studies that deliver reliable and clinically relevant insights. I work across the entire pipeline, from data collection and quality control to statistical analysis, modeling, and the substantiation of scientific evidence.

A key part of my work involves analyzing physiological signals, behavioral data, and long-term time series from real-world settings, with particular attention to cardiometabolic health. In addition, I investigate how AI applications such as predictive models and decision support can be developed and integrated into home monitoring, clinical care processes, and digital interventions.

In multidisciplinary collaborations, I often serve as a bridge between clinical practice, data analysis, and technology. I help with methodological decisions and work on transparent and careful use of AI. Alongside my research, I write and review scientific publications and support colleagues with statistical analyses, machine learning, and the development of data and analysis pipelines for clinical and practice-oriented datasets.