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General Information
| Full Name | Mario Verdicchio |
| Date of Birth | 17th November 1995 |
| Location | Via Galileo Ferraris,144, 80142 Naples, Italy |
| Languages | English, Italian |
| Personal Email | marioverd95@gmail.com |
| Institutional Email | mario.verdicchio@synlab.it; mario.verdicchio@unina.it |
Work Experience
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2021 - now Medical Imaging Researcher
IRCCS SYNLAB SDN, Naples, Italy - Developed and implemented deep learning algorithms for medical imaging applications.
- Collaborated with multidisciplinary teams to integrate AI solutions into clinical workflows.
- Deployed of several data-managment platforms for the management of medical imaging data.
Education
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2022 - now PhD
University of Naples Federico II, Naples, Italy - AI-based methods to support clinical decision in the medical imaging domain
- Application of generative models to neuro imaging data.
- Development of a deep learning-based algorithm for the segmentation of brain tumors in MRI images.
- AI-based methods to support clinical decision in the medical imaging domain
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2018 - 2021 MsC in Biomedical Engineering
University of Naples Federico II, Naples, Italy - Performance analysis of algorithms for the segmentation and automatic classification of breasts based on their density
- Developed a deep learning-based algorithm for the breast density estimation.
- Evaluated the performance of several segmentation algorithms of MR mammograms.
- Performance analysis of algorithms for the segmentation and automatic classification of breasts based on their density
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2014 - 2018 BSc in Biomedical Engineering
University of Naples Federico II, Naples, Italy - ECG measurements with Arduino UNO
- Developed a system to measure the ECG signal using an Arduino UNO board and a few electronic components.
- Implemented filtering and processing algorithms to extract the ECG signal from the raw data.
- Analyzed the ECG signal to detect heart rate and rhythm abnormalities.
- ECG measurements with Arduino UNO
Visiting Experience
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2024 Visiting Researcher
KTH Royal Institute of Technology, Stockholm, Sweden - Working on a project related the application of deep learning based approaches to medical imaging reconstuction. Particoularly focused on the PET imaging modality.
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2025 Visiting Researcher
Teesside University, Middlesbrough, UK - Working on a project related digital pathology and the multiomics integration in the context of cancer research.
Academic Interests
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Medical Imaging
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Neuroimaging
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Deep Learning
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Artificial Intelligence in Healthcare
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Data Management in Healthcare
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Multiomics Integration