Rianne Fijten is a clinical data scientist at Maastro Clinic and Maastricht University whose goal is to make patients’ lives easier through data science. She is a biomedical scientist by training, but quickly found that working with (Big) data was her passion. She finished her PhD in 2017 focussing on data science with the goal to diagnose lung disease. She currently works in oncology at Maastro Clinic and specializes in data infrastructure, the clinical implementation of data science and shared decision making.Eric Sijbrands is full professor of vascular medicine at the Erasmus MC, the university hospital, in Rotterdam. After obtaining his qualification as medical doctor in 1990, he was given the opportunity to receive his training in internal medicine and to work in scientific research at the universities of Leiden and Amsterdam. He made a Ph.D. thesis on gene-gene and gene-environment interaction in patients with genetic hyperlipidaemia (2000). He was one of the founding fathers of the Dutch national molecular diagnostics program for familial hypercholesterolemia and tested the clinical value of this worldwide first and largest population-based genetic diagnostic screening program. His work improved the insurability of patients with familial hypercholesterolemia globally: identified and on statins they now pay regular premiums. Sijbrands published the first articles about a reversed parent-offspring approach. After that, this method has been frequently used, as it avoids a number of biases and links intermediate traits to hard end-points with sufficient power in relatively small studies. His research contributed substantially to three recent paradigm shifts: the complications of most Mendelian disorders have complex aetiology, type 2 diabetes is a beta-cell disorder, and his improved method of mimicking trials in prospective follow-up yields identical risk estimates as randomized clinical trials.