Reader in Computational Network Biology
USA equivalent: Associate Professor
Department of Computing
Imperial College London
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 real-world networks. That is, she views the wiring patterns of large and complex molecular networks, disease ontologies, data from patient medical records, 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. Her recent work includes machine learning methods for integration of heterogeneous network 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
For more details, please see the research page
, the list of publications
, and Dr. Przulj's CV
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.