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Biomedical Data Science
Prof. Przulj works on 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 Prof. Przulj's CV, or the list of publications and the research page. Prof. 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.
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