Go to JKU Homepage
Institute for Machine Learning
What's that?

Institutes, schools, other departments, and programs create their own web content and menus.

To help you better navigate the site, see here where you are at the moment.

Dr. Djork-Arné Clevert

Personal data/education

  • Born June 18, 1972
  • Married, two children
  • 1992-2006: Technische Universität Berlin, BA in energy and processing technology, BA in computer science
  • graduation: MSc in computer science
  • 2008-2011: Charité University Medicine: PhD

Research topics

  • Deep learning
  • Convolutional network
  • Next generation sequencing / microarrays
  • Analysis of SNP-data and CNV-data
  • Medical approaches of bioinformatics
  • Alternative splicing
  • Machine Learning

Employment record

  • 2013: Marie Curie Experienced Researcher Fellowship
  • 2013-2014: Senior Data Scientist, Zalando AG, Berlin
  • 2013-2013: Data Scientist, nugg.ad AG, Berlin
  • 2007-2013: Research Associate, Johannes Kepler University, Linz
  • 2006-2007: Bioinformatiker, Signature-Diagnostics AG, Germany, Potsdam
  • 1998-1999: Student Research Assistant, Technische Universität Berlin
  • 1998-2008: Freelancer, QuaSi-Niere, German Register for Quality Control in Renal Replacement Therapy


  • Djork-Arne Clevert, Thomas Unterthiner, Sepp Hochreiter: Rectified Factor Networks for BiclusteringInternational Conference on Learning Representations (ICLR 2016 Workshop Track)
  • Djork-Arne Clevert, Thomas Unterthiner, Sepp Hochreiter: Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)International Conference on Learning Representations (ICLR 2016 Conference Track)link, opens an external URL in a new window
  • Martin Heusel, Djork-Arne Clevert, Günter Klambauer, Andreas Mayr, Karin Schwarzbauer, Thomas Unterthiner, Sepp Hochreiter: ELU-Networks: Fast and Accurate CNN Learning on ImageNetImageNet and MS COCO Visual Recognition Challenges Joint Workshop, in conjunction with International Conference on Computer Vision (ICCV), 2015
  • Djork-Arne Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter: Rectified Factor NetworksAdvances in Neural Information Processing Systems 28 (NIPS 2015)link, opens an external URL in a new window
  • SEQC/MAQC-III Consortium. A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium, Nature Biotechnology, 32:903-914, 2014
  • Munro S. A., Lund S. P.,Pine S. P., Binder H., Clevert D. A., et al. (2014). Assessing Technical Performance in Differential Gene Expression Experiments with External Spike-in RNA Control Ratio Mixtures. Nature Communications 5125, 25 September 2014 doi:10.1038/ncomms6125
  • Clevert, D. A., Mayr, A., Mitterecker, A., Klambauer, G., Valsesia, A., Forner, K., Tuefferd, M., Talloen, W., Wojcik, J., Göhlmann, H., & Hochreiter, S. (2013). Increasing the discovery power of-omics studies. Systems Biomedicine, 1(2), 0-1. Link, opens an external URL in a new window
  • Klambauer, G., Schwarzbauer, K., Mayr, A., Clevert, D. A., Mitterecker, A., Bodenhofer, U., & Hochreiter, S. (2012). cn. MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate. Nucleic Acids Research, 40(9), e69-e69. doi:10.1093/nar/gks003, opens an external URL in a new window
  • Clevert, D. A., Mitterecker, A., Mayr, A., Klambauer, G., Tuefferd, M., De Bondt, A., Talloen, W., Göhlmann, H., & Hochreiter, S. (2011). cn. FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate. Nucleic Acids Research, 39(12), e79-e79. doi:10.1093/nar/gkr197, opens an external URL in a new window
  • Hochreiter S., Bodenhofer W., Heusel M., A. Mayr A., Mitterecker A., Kasim A., Khamiakova T., Van Sanden S., Lin D., Talloen W., Bijnens L., Göhlmann H., Shkedy Z., & Clevert D.-A., FABIA: Factor Analysis for Bicluster Acquisition, Bioinformatics, 2010, 26(12):1520-7
  • Kasim A., Miss D. L., Van Sanden S., Clevert D.-A., Bijnens L., Göhlmann H., Amaratunga D., Hochreiter S., Shkedy Z., and Talloen W., Informative or Non-informative Calls for Gene Expression: A Latent Variable Approach, Statistical Applications in Genetics and Molecular Biology, 2010, Vol. 9: Iss. 1, 4
  • Tuefferd M., De Bondt A., Van Den Wyngaert I., Talloen W., Verbeke T., Carvalho B., Clevert D.-A., Alifano M.,Raghavan N., Amaratunga D., Göhlmann H., Broët P., & Camilleri-Broët S., Genome-wide copy number alterations detection in fresh frozen and matched FFPE samples using SNP 6.0 arrays, Genes, Chromosomes & Cancer, 2008, 47(11):957-64
  • Talloen W., Clevert D.-A., Hochreiter S., Amaratunga D., Göhlmann H.W.H., I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data, Bioinformatics, 2007, 23:2897-2902
  • Hochreiter S., Clevert D.-A., and Obermayer K., A New Summarization Method for Affymetrix Probe Level Data, Bioinformatics, 2006, 15;22(8):943-9
  • Clevert et al. Color Doppler, power Doppler and B-flow ultrasound in the assessment of ICA stenosis: Comparison with 64-MD-CT angiography, Eur. Radiol., 2006 Nov 22
  • Clevert et al., Imaging of aortic abnormalities with contrast-enhanced ultrasound. A pictorial comparison with CT, Eur. Radiol. 2007
  • Clevert et al., High-grade stenoses of the internal carotid artery: Comparison of high-resolution contrast enhanced 3D MRA, duplex sonography and power Doppler imaging, Eur J Radiol. 2006
  • Clevert et al., Contrast-enhanced ultrasound versus MS-CT in blunt abdominal trauma, Clin Hemorheol Microcirc. 2008; 39(1-4):155-69
  • Clevert et al., Color duplex ultrasound and contrast-enhanced ultrasound in comparison to MS-CT in the detection of endoleak following endovascular aneurysm repair, Clin Hemorheol Microcirc. 2008, 39(1-4):121-32
  • Clevert et al.,Contrast-enhanced ultrasound versus conventional ultrasound and MS-CT in the diagnosis of abdominal aortic dissection, Clin Hemorheol Microcirc. 2009, 43(1-2):129-139
  • Clevert et al.,Modern ultrasound diagnostics of deep vein thrombosis in lung embolism of unknown origin, Radiologe, 2007, 47(8):673-684
  • Clevert et al., Chip card assisted safety of communication in German public health, Stud Health Technol Inform: 77(2) 1096-7, 2000