{"id":7491,"date":"2022-02-02T08:26:58","date_gmt":"2022-02-02T08:26:58","guid":{"rendered":"http:\/\/www.isa.cnr.it\/web\/?page_id=7491"},"modified":"2026-05-20T10:43:48","modified_gmt":"2026-05-20T10:43:48","slug":"daniela-evangelista","status":"publish","type":"page","link":"https:\/\/www.isa.cnr.it\/web\/?page_id=7491","title":{"rendered":"Daniela Evangelista"},"content":{"rendered":"

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Name: <\/strong>Daniela\r\n<\/pre>\n
Surname: <\/strong>Evangelista\r\n<\/pre>\n
Skill<\/b>: Researcher<\/pre>\n
Phone:<\/strong> (Office) +39 0825 299 410<\/pre>\n
Phone:<\/strong> (Lab) +39 0825 299 410<\/pre>\n
Fax:<\/strong> +39 0825 299 641<\/pre>\n
e-mail: daniela.evangelista<\/strong>@isa.cnr.it<\/h5>\n
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C<\/em><\/strong>NR People<\/em> WEB Site:  <\/strong>http:\/\/www.cnr.it\/people\/daniela.evangelista<\/a><\/h5>\n
Keywords: Bioinformatics, Clinical Data Mining, Health, Web resource, Machine Learning<\/span><\/strong><\/h5>\n
Curriculum EN<\/strong>: (click here to view it)<\/a><\/h5>\n
Researcher Activities<\/h1>\n
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I am an interdisciplinary Research Scientist at the National Research Council of Italy (CNR), with expertise in bioinformatics, artificial intelligence, and machine learning applied to biomedical research. My research is centered on the development of computational methods and data integration strategies to address complex biomedical challenges across multiple disease areas. Over the years, I have developed and applied statistical, bioinformatics, and machine learning methods for the analysis of Next Generation Sequencing (NGS) data and contributed to the design of automated decision-support systems for disease diagnosis, prognosis, and patient stratification. These activities have addressed a broad range of clinical conditions, including cancer (e.g., hepatocellular carcinoma, kidney and breast cancers), chronic metabolic disorders, and chromosome 21-related conditions such as Down syndrome. I have also designed and implemented software tools, web platforms, and databases for the management, integration, and analysis of multi-omics, clinical, and experimental data. Currently, at the Institute of Food Sciences in Avellino, my research focuses on bioinformatics and artificial intelligence methodologies for the integration and interpretation of biological and microbiome data. My work spans multiple domains of biomedical research, including oncology and neurodegenerative diseases. By integrating multi-omics, clinical, and microbiome data, I aim to elucidate the molecular mechanisms underlying disease onset and progression and to support the development of data-driven approaches for biomedical research and precision medicine.<\/p>\n
Key Publications<\/h1>\n