Amsterdam UMC
The
Big Statistics section on the Department of Epidemiology and Data Science has a strong tradition of applying novel mathematical insights into statistics applications for medical purposes. The proposed line of research into medium dimensional prediction also has a strong applied character. Key research lines in our section include: statistical omics, studying statistical methods for big p problems (e.g. gene, protein, metabolite, and exposome data); co-data learning: studying methods that allow incorporating external data or expert knowledge into statistical models; and causal inference. You will be co-supervised by dr. Jeroen Hoogland and prof. Mark van de Wiel from the department of Epidemiology and Data Science.