Certificate, Stanford Business School, Stanford Ignite (2012) Ph.D, University of Leuven, Belgium, BIoinformatics (2008) M.S., University of Leuven, Belgium, Artificial Intelligence (2004) M.S., University College, Ghent, Belgium, Electrical Engineering/Computer Science (2003)

Predicting structured metadata from unstructured metadata DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATIONPosch, L., Panahiazar, M., Dumontier, M., Gevaert, O.2016 Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities. Science translational medicineItakura, H., Achrol, A. S., Mitchell, L. A., Loya, J. J., Liu, T., Westbroek, E. M., Feroze, A. H., Rodriguez, S., Echegaray, S., Azad, T. D., Yeom, K. W., Napel, S., Rubin, D. L., Chang, S. D., Harsh, G. R., Gevaert, O.2015; 7 (303): 303ra138-? Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities. Science translational medicineItakura, H., Achrol, A. S., Mitchell, L. A., Loya, J. J., Liu, T., Westbroek, E. M., Feroze, A. H., Rodriguez, S., Echegaray, S., Azad, T. D., Yeom, K. W., Napel, S., Rubin, D. L., Chang, S. D., Harsh, G. R., Gevaert, O.2015; 7 (303): 303ra138-? MethylMix: an R package for identifying DNA methylation-driven genes BIOINFORMATICSGevaert, O.2015; 31 (11): 1839-1841 Pancancer analysis of DNA methylation-driven genes using MethylMix GENOME BIOLOGYGevaert, O., Tibshirani, R., Plevritis, S. K.2015; 16 CaMoDi: a new method for cancer module discovery BMC GENOMICSManolakos, A., Ochoa, I., Venkat, K., Goldsmith, A. J., Gevaert, O.2014; 15 Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features RADIOLOGYGevaert, O., Mitchell, L. A., Achrol, A. S., Xu, J., Echegaray, S., Steinberg, G. K., Cheshier, S. H., Napel, S., Zaharchuk, G., Plevritis, S. K.2014; 273 (1): 168-174 Oncogenic transformation of diverse gastrointestinal tissues in primary organoid culture NATURE MEDICINELi, X., Nadauld, L., Ootani, A., Corney, D. C., Pai, R. K., Gevaert, O., Cantrell, M. A., Rack, P. G., Neal, J. T., Chan, C. W., Yeung, T., Gong, X., Yuan, J., Wilhelmy, J., Robine, S., Attardi, L. D., Plevritis, S. K., Hung, K. E., Chen, C., Ji, H. P., Kuo, C. J.All Authors2014; 20 (7): 769-777 Identification of ovarian cancer driver genes by using module network integration of multi-omics data INTERFACE FOCUSGevaert, O., Villalobos, V., Sikic, B. I., Plevritis, S. K.2013; 3 (4) Identifying master regulators of cancer and their downstream targets by integrating genomic and epigenomic features. Pacific Symposium on Biocomputing. Pacific Symposium on BiocomputingGevaert, O., Plevritis, S.2013: 123-134