Kris Laukens



Research group

ADReM Data Lab (ADReM)


  • Both biological sciences and clinical medicine are currently overwhelmed by vast amounts of complex data and are becoming increasingly dependent on information technology for data analysis, interpretation and organisation. Although powerful data mining techniques are being developed within and outside the University, they are still underutilized in the life sciences. We aim to bring state-of-the-art data mining techniques to life science applications by setting up interdisciplinary collaborations between computer scientists, life scientists and clinicians. Core activities are: 1) the introduction, adaptation and application of innovative pattern mining and machine learning techniques to heterogeneous 'omics data (genome, transcriptome, proteome and metabolome) and to clinical information; 2) using these techniques to generate computational (network) models for biological systems and diseases; and 3) the development of interactive and intuitive visualizations of complex life science data and pattern mining results.


You can find here all of the projects that are recorded in the research database of UAntwerp under the name of the academic staff member that acts as a promoter, copromoter or grant holder (a.o. FWO). It concerns only those research projects and mandates that were acquired after an external or internal competition.