Martin Bøgsted earned an MSc in theoretical statistics from Aarhus University and a PhD in biostatistics from the Royal Veterinary and Agricultural University, Copenhagen. Martin has since been Assistant and Associate Professor at Aalborg University, Technical Project Manager at Telenor A/S, and Senior Biostatistician at Department of Haematology, Aalborg University Hospital. In 2016 he became Professor in Bioinformatics and Statistics at Department of Clinical Medicine, Aalborg University. He has a long track record in project management of complex statistical projects within a wide range of application areas covering the whole statistical value chain from teaching and methodological developments in engineering, epidemiology, clinical trials designs (phase 0, I, II, and III), protocols, power calculations, data management, computational statistics, and statistical analysis. In the later years, his focus has been on translating high throughput biological and big clinical data findings to clinical practice.

In PREDICT, Martin Bøgsted expects to establish a cutting-edge data lake that aims to facilitate the access, analysis, and presentation of integrated clinical and omics data, thereby facilitating implementation of data driven personalized medicine for inflammatory bowels disease. The expectation is also to establish new stable and identifiable unsupervised clustering algorithms for the stratification of IBD patients in a new unbiased disease taxonomy based on genomic, para-clinical, and clinical data, originating from longitudinally disease trajectories. Further, it is expected that new approaches to continuously predict patient’s risk by machine learning techniques will be developed.