Riccardo Campanile
| [email protected] | |
| Location |
Building 13
Floor 3rd Via Adamello 16, Milano |
I am a physicist and PhD in Molecular and Translational Medicine with a strong interest in computational biology and quantitative data analysis. My research focuses on developing automated analysis pipelines and extracting biologically meaningful information from large-scale single-cell datasets. I design computational workflows for preprocessing, normalization, feature extraction, statistical analysis, and visualization of complex experimental data, making advanced analytical tools accessible through automated, user-friendly pipelines. I work at the interface of physics, biology, and medicine, integrating quantitative measurements with biological and clinical information to identify predictive signatures associated with disease progression and therapeutic response. I enjoy translating complex biological questions into quantitative problems and developing robust computational solutions to address them. I am currently expanding my expertise in Python and data science with the goal of applying my analytical and programming skills to next-generation sequencing, single-cell and multi-omics data analysis, contributing to precision medicine through reproducible and data-driven approaches.
Most Relevant Publications
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Production of AFM wedged cantilevers for stress-relaxation experiments: Uniaxial loading of soft, spherical cells.
Methods, 2025
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Endothelial Cells Angiogenesis in Sulfated Glycosaminoglycan (GAG) Hydrogels Enhanced by Bioactive Glass-Released Ions.
Adv Funct Mater, 2025
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Reduction of bacterial colonization on buckling-induced wrinkled surfaces under fluid shear.
Nat Commun, 2026
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Intercepting YAP Activation in Prostate Cancer Blocks Neuroendocrine Progression.
Cancer Res, 2026