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Nataša Pržulj, Ph.D., MAE

Professor of Biomedical Data Science

Computer Science
University College London


Education

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


Biography

Prof. Przulj is recognized for initiating extraction of biomedical knowledge from the wiring patterns (topology, structure) of "Big Data" real-world molecular (omics) and other networks. That is, she views the wiring patterns of large and complex omics 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 and meaningfully integrated 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: For more details, please see Prof. Przulj's CV, Semantic Scholar Citations, Google Scholar Citations, or the list of publications and the research page.


Awards

Prof. Przulj was elected into Academia Europaea, The Academy of Europe, in 2017. In 2013, she was elected into the Young Academy of Europe. She 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. 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.


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