معرفی
Manuela Petti is an Assistant Professor of Biomedical Engineering at Sapienza University of Rome's Department of Computer, Control, and Management Engineering since 2019. She is affiliated with the Bioengineering and Bioinformatics Lab and the National Bioengineering Group (GNB), and serves as Associate Editor for Frontiers in Medical Engineering (Computational Medicine section).
Her academic background includes a cum laude M.Sc. in Biomedical Engineering from Sapienza University of Rome (2011) and a Ph.D. from the University of Bologna (2016), with a visiting stint at Indiana University Bloomington (2015).
- M.Sc. Biomedical Engineering, Sapienza University of Rome (2011, cum laude)
- Ph.D. Biomedical Engineering, University of Bologna (2016)
Dr. Petti's research pioneers network-based computational approaches for precision medicine, integrating molecular data analysis, biological network inference, and brain connectivity estimation. Her work bridges bioinformatics and biomedical engineering to develop advanced methods for cancer research (focusing on sexual dimorphism and ethnic disparities), network neuroscience, and bioelectrical signal processing, with significant applications in oncology and neurology.
Analysis of her 56 Scopus-indexed publications (1282 citations, H-index 13) reveals dominant trends in network medicine for cancer diagnostics, including immunological network signatures for immunotherapy response, miRNA regulation networks for sex disparities, and multi-omics integration for biomarker discovery. Her recent work emphasizes radiomics, drug repurposing, and patient stratification through network-based approaches.
As an educator, she teaches "Bioinformatics and Network Medicine" and "Digital Epidemiology and Precision Medicine" in Sapienza's Data Science MSc program, having supervised over 10 Master's theses in Data Science, Computer Science, and Bioinformatics.
She actively contributes to the Bioengineering and Bioinformatics Lab at Sapienza University of Rome, where her team develops computational frameworks for translating network-based discoveries into clinical applications, particularly in cancer therapeutics and neurological disorders.
