Dr Nataša Pržulj

Dr Nataša Pržulj
Academic title: Full professor
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Academic career

Academic title: 2003, School of Computer Science, University UNION, Belgrade
Ph.D. in Computer Science, University of Toronto, Canada, 2005
M.Sc. in Computer Science, University of Toronto, Canada, 2000
B.Sc. First Class Honors in Maths and Computer Science, Simon Fraser University, Canada, 1997


Dr. Przulj is renowned for initiating extraction of biological knowledge purely from wiring patterns (topology) of "Big Data" real-world networks. That is, she views the wiring patterns of large and complex molecular networks, disease ontologies, clinical patient data, drug-drug and drug-target interaction networks etc., as a new source of information that complements the genetic sequence data and needs to be mined to gain deeper biomedical understanding. Her recent work includes designing machine learning methods for integration of heterogeneous biomedical and molecular data, applied to advancing biological and medical knowledge. She also applies her methods to economics. She is a member of the Editorail Board of Bioinformatics (Oxford Journals), Scientific Reports (Nature Publishing Group), and the Proceedings / Area Chair of Protein Interactions and Molecular Networks track at ISMB/ECCB 2015 and ISMB 2016. For more details, please see Dr. Przulj's CV, or the list of publications and the research page.

Dr. Przulj is a Fellow of the British Computer Society. She was awarded the British Computer Society Roger Needham Award for 2014 in recognition of the potential her research and work has to revolutionise health and pharmaceutics -- the award is given annually for a distinguished research contribution in computer science by a UK based researcher within ten years of their PhD. In 2013, Dr. Przulj was elected into the Young Academy of Europe. She received a prestigious European Research Council (ERC) Starting Independent Researcher Grant for 2012-2017 for her project titled "Biological Network Topology Complements Genome as a Source of Biological Information." She held a USA analogue to an ERC Starting Grant, a prestigious NSF CAREER Award, for the project titled "Tools for Analyzing, Modeling, and Comparing Protein-Protein Interaction Networks" in 2007-2011 at University of California Irvine. Her research has also been supported by other large governmental and industrial grants including those from GlaxoSmithKline, IBM and Google.

Scientific and professional production

  1. Higham, D. J., M. Rasajski, N. Pržulj, “Fitting a Geometric Graph to a Protein-Protein Interaction Network”, Bioinformatics, 24 (8) (2008) 1093-1099.
  2. Pržulj, N., “Biological Network Comparison Using Graphlet Degree Distribution”, Bioinformatics, 23 (2) (2007) 177-183.
  3. Pržulj, N, D. G. Corneil, I. Jurisica, “Efficient Estimation of Graphlet Frequency Distributions in Protein-Protein Interaction Networks”, Bioinformatics, 22 (8) (2006), 974-980.
  4. V. Janjic, and N. Przulj, The Core Diseasome, a special issue on Emerging Investigators, Molecular BioSystems, 8:2614-2625, July 4, 2012.
  5. Pržulj, N., D. G. Corneil, I. Jurisica, “Modeling Interactome: Scale-Free or Geometric?”, Bioinformatics, 20 (18) (2004) 3508-3515.
  6. V.Memisevic, T.Milenkovic, andN. Pržulj, “An integrative approach to modelling biological networks,” Journal of Integrative Bioinformatics, 7(3):120, DOI: 10.2390/biecolljib-2010-120, 2010.
  7. T. Milenković, V. Memišević, A. K. Ganesan, and N. Pržulj, “Systems-level cancer gene identification from protein interaction network topology applied to melanogenesisrelated functional genomics data,” Journal of the Royal Society Interface, 7 (44), 423-437, doi:10.1098/rsif.2009.0192, March 6, 2010.
  8. Pržulj, N., D. J. Higham, “Modelling Protein-Protein Interaction Networks via a Stickiness Index”, Journal of the Royal Society Interface, 3 (10) (2006) 711 - 716.
  9. O. Kuchaiev and N. Pržulj, Integrative Network Alignment Reveals Large Regions of Global Network Similarity in Yeast and Human, Bioinformatics (2011) doi: 10.1093/bioinformatics/ btr127.
  10. N. Pržulj, Protein-protein interactions: making sense of networks via graph-theoretic modeling, Bioessays 33(2) (2011).
Рачунарски факултет Рачунарски факултет 011-33-48-079