Natasa Pržulj, PhD

Academic title: Full Professor

Born: 9/1/1973

Email: nprzulj@raf.edu.rs

Academic career

  • Elected to the title – 2013, School of Computing, Belgrade, Discrete Structures
  • PhD – 2005, University of Toronto, Toronto, Computer Science
  • MSc – 2000, University of Toronto, Toronto, Computer Science
  • BSc – 1997, Simon Fraser University, Vancouver, Computer Science

 

  • ICREA Research Professor – Barcelona Supercomputing Center
  • Professor at University College London – since 2016
  • Associate Professor (2012–2016) and Assistant Professor (2009–2012) – Imperial College London
  • Assistant Professor (2005–2009) – University of California, Irvine

Awards

  • She was elected into Academia Europea -The Academy of Europe, the Serbian Royal Academy, the British Computer Society
  • She received three prestigious ERC (European Research Council) grants: ERC Consolidator (2018-2023), ERC PoC (2020-2022) and ERC Starting (2012-2017)
  • Roger Needham Award – 2014
  • NSF Career Award

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).