Predrag Radivojac
Professor, Associate Dean of Research
Research interests
- Computational biology
- Machine learning
Education
- PhD in computer and information sciences, Temple University
- MS in electrical engineering, University of Belgrade — Serbia
- BS in electrical engineering, University of Novi Sad — Serbia
Biography
Predrag Radivojac is a professor, director of the master's program in data science, and associate dean of research in the Khoury College of Computer Sciences at Northeastern University, based in Boston.
Radivojac's primary research interests include computational biology and machine learning. He is motivated to improve our understanding of life at a molecular level and how molecular events affect higher-level phenotypes. His research group addresses these questions through the development of algorithms and analysis techniques related to the function of biological macromolecules, mass spectrometry proteomics, genome interpretation, and precision health.
Overall, Radivojac is interested in elucidating the molecular mechanisms of disease consequent to genetic variation. In the area of machine learning, his research addresses foundational and applied problems in semi-supervised learning, structured-output learning, and active learning, and investigates topics such as kernels and distance functions (e.g., metrics) across data types and analysis techniques. He is also interested in performance evaluation of machine learning algorithms, especially in the hierarchical structured-output domains and cases of selection bias that arise in open-world settings.
Prior to joining Northeastern, Radivojac was a professor of computer science at Indiana University Bloomington and the associate chair of the department. While there, he co-directed data sciences and informatics within the multi-campus Precision Health Initiative.
Radivojac received the National Science Foundation CAREER Award in 2007. He is also an August-Wilhelm Scheer Visiting Professor at Technical University of Munich and an honorary member of the Institute for Advanced Study there. He is an editorial board member for the journal Bioinformatics, associate editor for PLoS Computational Biology, and serving his third elected term on the Board of Directors for the International Society for Computational Biology.
Recent publications
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[TEST-FEB13]-An algorithm for decoy-free false discovery rate estimation in XL-MS/MS proteomics
Citation: Yisu Peng, Shantanu Jain, Predrag Radivojac. (2024). An algorithm for decoy-free false discovery rate estimation in XL-MS/MS proteomics Bioinform., 40, i428-i436. https://doi.org/10.1093/bioinformatics/btae233 -
Fast nonparametric estimation of class proportions in the positive-unlabeled classification setting
Citation: Zeiberg, D., Jain, S., & Radivojac, P. (2020). Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), 6729-6736. https://doi.org/10.1609/aaai.v34i04.6151 -
A new class of metrics for learning on real-valued and structured data
Citation: Yang R, Jiang Y, Mathews S, Housworth EA, Hahn MW, Radivojac P. A new class of metrics for learning on real-valued and structured data. Data Min. Knowl. Disc. (2019) 33(4): 995-1016.
