Nataša Pržulj

Professor Pržulj is a leader in biological network analysis and a pioneer in network biology geometry applied to personalized (precision) medicine. In 2004, she introduced graphlets to extract biomedical knowledge from molecular networks, revolutionizing the field. Graphlets are a basis of many AI methodologies to produce feature vectors and matrices capturing network topology that are inputted into many AI/ML algorithms for network data analytics in various domains. They are the subject of around 23,000 research papers and hundreds of patents according to Google Scholar. Professor Pržulj’s current research focuses on developing new AI methods for multi-omics data fusion applied to precision medicine and discovery of precision therapeutics.

• Ph.D., Computer Science, University of Toronto, Canada
• M.Sc., Computer Science, University of Toronto, Canada
• B.Sc., Mathematics and Computer Science – First Class Honors, Simon Fraser University, Canada

Professor Pržulj’s research has been supported by over €27 million in competitive research funding. Notably, she received three prestigious, single PI, European Research Council (ERC) grants: ERC Consolidator (2018-2025), ERC Proof of Concept (2020-2023) and ERC Starting (2012-2017). She also received an NSF Career award at UC Irvine, California, USA (2007-2011), among other funded research projects. She has been elected to many academies and learned societies, including:

• Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), since 2025
• Fellow of the International Society for Computational Biology (ISCB), in 2024
• Fellow of The European Laboratory for Learning and Intelligent Systems (ELLIS), in 2024
• Fellow of the British Computer Society (BCS) Academy of Computing, in 2013
• Member of Academia Europaea, The Academy of Europe, in 2017
• Member of the Serbian Royal Academy of Scientists and Artists (SKANU), in 2019
• Scientific Advisor of the Mathematics Institute of the Serbian Academy of Sciences and Arts (SANU), in 2012

In 2014, Professor Pržulj received the British Computer Society Roger Needham Award, sponsored by Microsoft Research, in recognition of the potential her research has to revolutionize health and pharmaceutics.

• Zuqi Li, Sam F L Windels, Noël Malod-Dognin, Seth M Weinberg, Mary L Marazita, Susan Walsh, Mark D Shriver, David W Fardo, Peter Claes, Nataša Pržulj, Kristel Van Steen, Clustering individuals using INMTD: a novel versatile multi-view embedding framework integrating omics and imaging data, Bioinformatics, Volume 41, Issue 4, April 2025, btaf122, https://doi.org/10.1093/bioinformatics/btaf122
• Mihai Pop, Teresa K Attwood, Judith A Blake, Philip E Bourne, Ana Conesa, Terry Gaasterland, Lawrence Hunter, Carl Kingsford, Oliver Kohlbacher, Thomas Lengauer, Scott Markel, Yves Moreau, William S Noble, Christine Orengo, B F Francis Ouellette, Laxmi Parida, Natasa Przulj, Teresa M Przytycka, Shoba Ranganathan, Russell Schwartz, Alfonso Valencia, Tandy Warnow, Biological databases in the age of generative artificial intelligence, Bioinformatics Advances, Volume 5, Issue 1, 2025, vbaf044, https://doi.org/10.1093/bioadv/vbaf044
• Nataša Pržulj, Noël Malod-Dognin, Simplicity within biological complexity, Bioinformatics Advances, Volume 5, Issue 1, 2025, vbae164, https://doi.org/10.1093/bioadv/vbae164
• Sam F L Windels, Daniel Tello Velasco, Mikhail Rotkevich, Noël Malod-Dognin, Nataša Pržulj, Graphlet-based hyperbolic embeddings capture evolutionary dynamics in genetic networks, Bioinformatics, Volume 40, Issue 11, November 2024, btae650, https://doi.org/10.1093/bioinformatics/btae650
• Katarina Mihajlović, Noël Malod-Dognin, Corrado Ameli, Alexander Skupin, Nataša Pržulj, MONFIT: multi-omics factorization-based integration of time-series data sheds light on Parkinson’s disease, NAR Molecular Medicine, Volume 1, Issue 4, October 2024, ugae012, https://doi.org/10.1093/narmme/ugae012
• Andreas Maier, Michael Hartung, Mark Abovsky, Klaudia Adamowicz, Gary D Bader, Sylvie Baier, David B Blumenthal, Jing Chen, Maria L Elkjaer, Carlos Garcia-Hernandez, Mohamed Helmy, Markus Hoffmann, Igor Jurisica, Max Kotlyar, Olga Lazareva, Hagai Levi, Markus List, Sebastian Lobentanzer, Joseph Loscalzo, Noel Malod-Dognin, Quirin Manz, Julian Matschinske, Miles Mee, Mhaned Oubounyt, Chiara Pastrello, Alexander R Pico, Rudolf T Pillich, Julian M Poschenrieder, Dexter Pratt, Nataša Pržulj, Sepideh Sadegh, Julio Saez-Rodriguez, Suryadipto Sarkar, Gideon Shaked, Ron Shamir, Nico Trummer, Ugur Turhan, Rui-Sheng Wang, Olga Zolotareva, Jan Baumbach, Drugst.One — a plug-and-play solution for online systems medicine and network-based drug repurposing, Nucleic Acids Research, Volume 52, Issue W1, 5 July 2024, Pages W481–W488, https://doi.org/10.1093/nar/gkae388