معرفی
Benno Schwikowski is Head of the Computational Systems Biomedicine laboratory at the Institut Pasteur, Paris, affiliated with the Center for Bioinformatics, Biostatistics and Integrative Biology (C3BI). His research integrates computational biology, machine learning, and systems biomedicine to uncover causal pathways in complex diseases such as autoimmune disorders and cancer.
His research focuses on bioinformatics, systems biology, network medicine, and precision oncology. By leveraging high-throughput data—including transcriptomics, proteomics, and single-cell sequencing—his group develops computational tools to model molecular networks and identify biomarkers and therapeutic targets. He is renowned for co-creating Cytoscape, a foundational open-source platform for network visualization and analysis.
His recent publications (2018–2024) reveal a strong emphasis on autoimmune diseases (e.g., primary Sjögren’s syndrome), ovarian cancer, and infectious diseases (e.g., dengue, COVID-19). These works highlight his use of machine learning, transcriptomic drug repurposing, and consensus biomarker discovery to improve diagnosis and treatment stratification.
- DECIDER: AI-driven diagnostics for ovarian cancer
- PARIS: Personalized treatment of chemoresistant ovarian cancer
- SLE Map: Low-dimensional mapping of lupus patients
- NECESSITY: Patient stratification in primary Sjögren’s syndrome
- HERCULES: Single-cell analysis of ovarian cancer (completed)
He has advised numerous PhD students and postdoctoral researchers, many of whom now hold academic and research positions worldwide. His lab is part of major national and EU programs such as LabEx Milieu Intérieur and INCEPTION, reflecting strong grant support and interdisciplinary collaboration. He also contributes to software development, notably through the Cytoscape and OntoWeaver projects.
His leadership in computational biomedicine, sustained publication record, and integration of AI with experimental biology underscore his significant contributions to modern systems medicine.
