Prof. 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 Prof. Przulj's CV, or the list of publications and the research page.