Born in Bologna on 26/05/1995
Education
2025 – Specialization in Medical Physics, University of Bologna
2023 – PhD in Physics, University of Bologna
2019 – Master’s Degree in Applied Physics, University of Bologna
2017 – Bachelor’s Degree in Physics, University of Bologna
Work Experience
2024–Present – Research Fellow, Department of Medical and Surgical Sciences, University of Bologna
2022–2024 – Research Fellowship within the project “Artificial Intelligence for personalised medicine in depression – analysis and harmonization of clinical research data for robust multimodal patient profiling for the prediction of therapy outcome (ArtiPro)”, Scientific Directorate, IRCCS Istituto delle Scienze Neurologiche di Bologna
08–10/2019 – Post-graduate research fellowship, CIG – Interdepartmental Centre “L. Galvani” for Integrated Studies of Bioinformatics, Biophysics and Biocomplexity
International Research Experience
2022 – Computer Laboratory, Department of Computer Science & Technology, University of Cambridge, William Gates Building, JJ Thomson Avenue, Cambridge, CB3 0FD, UK
2022 – Department of Laboratory Medicine, Karolinska Institutet, Alfred Nobels Allé 8, 151 46 Huddinge, Sweden
2018 – ERASMUS+ Traineeship Programme, Leeds Institute for Data Analytics, University of Leeds
Research Activity
My academic and research background is rooted in Applied Physics, with a particular focus on Medical Physics, the analysis of complex biomedical data, and the integration of heterogeneous information sources. My research interests include the analysis of medical images (PET, CT), histopathological images, genomic data (DNA and RNA), clinical and survival data, as well as radiotherapy data, with an emphasis on the development and application of statistical methods and artificial intelligence in the biomedical field.
During my Bachelor’s degree, I developed an interest in medical physics and complex systems, which led me to focus my thesis work on the analysis of somatic mutations from sequencing data. During my Master’s degree, I further explored biomedical data analysis and related methodologies, expanding my expertise in the use of statistical models and artificial intelligence applied to real biological problems.
I obtained my PhD in 2023 with the aim of strengthening my training in advanced statistical methods and artificial intelligence techniques for the analysis of multimodal biomedical data, including imaging data. During my doctoral studies, I undertook research periods abroad at the University of Cambridge and at the Karolinska Institutet, which significantly contributed to my scientific and methodological development.
Starting in 2022, I pursued the specialization in Medical Physics, completed in November 2025, revisiting my initial interests in light of the methodological training acquired in previous years. This pathway allowed me to complement research activity with practical clinical skills, particularly in radiotherapy treatment planning using advanced techniques such as VMAT and CyberKnife, with the goal of contributing in an integrated manner to both research and clinical practice.
After completing my PhD, my professional activity continued at the Scientific Directorate of the IRCCS Istituto delle Scienze Neurologiche di Bologna (November 2022 – October 2024), with the aim of ensuring continuity in biomedical data analysis and artificial intelligence research applied to clinical settings. I subsequently continued this research line as a Research Fellow at the Department of Medical and Surgical Sciences, University of Bologna, contributing to national and European biomedical research projects.
Since the second half of 2024, I have also been actively involved in the imaging platform of the IRCCS Sant’Orsola Hospital in Bologna, with the objective of studying and contributing to the field of Total-Body PET imaging and Dynamic PET imaging. In this context, my work focuses on optimizing and translating radiotracer kinetic information into practical and effective data to support nuclear medicine physicians and subsequent patient therapeutic pathways.
Recent Publications (Articles and Conference Contributions)
Salluzzo, M. G., et al. Epigenetic signatures in an Italian cohort of Parkinson’s disease patients from Sicily. Brain Sciences, 16(1), 31 (2025).
Di Giorgio, A., et al. Prognostic utility of dynamic PSMA PET/CT and kinetic modeling with LAFOV in advanced prostate cancer. European Urology Open Science, 81, S193 (2025).
Brusa, I., et al. Dynamic [68Ga]Ga-PSMA-11 PET with total-body imaging and PET-guided biopsy: unveiling kinetic patterns in prostate cancer lesions and reference organs. Preliminary results from a prospective single-center study (2025).
Sobas, M. A., et al. Outcomes with intensive treatment for acute myeloid leukemia: an analysis of two decades of data from the HARMONY Alliance. Haematologica, 110(5), 1126 (2024).
Dall’Olio, D., et al. Emerging signatures of hematological malignancies from gene expression and transcription factor–gene regulations. International Journal of Molecular Sciences, 25(24), 13588 (2024).
