Education
- 2019: PhD degree in Medical Physics, Aarhus University
- 2008: Postgraduate degree in Medical Physics, University of the Study of Milano
- 2004: Master Degree in Physics, University of the Study of Milano
Academic Appointments
- 2024 – present: Honorary professor, Department Medical Physics and Biomedical Engineering, University College London (UCL)
- 2014 – present: Lecturer/expert for IAEA and ICTP/IAEA courses for medical physicists in developing countries
- 2009 – 2024: Chief assistant Medical Physicist at Radiotherapy and Radiosurgery Department IRCCS Humanitas Research Hospital – Rozzano (MI)
Membership and Affiliations
- 2024 – present: ESTRO: Co-Chair of the ESTRO 2021 physics workshop on “Strategies for SBRT planning harmonisation, paving the path for data sharing”; member of the ESTRO School on Image-Guided Stereotactic Body Radiation Therapy
- 2019 – present: AIFM representative member to ESTRO
- 2018 – present: AIFM: Chair of the Italian working group on physics and dosimetric aspects of SBRT; Member of the AIFM Scientific Commission (leader for dissemination)
- 2016 – present: Associated editor, Physica Medica: European Journal of Medical Physics
- 2011 – present: Journal Applied Clinical Medical Physics
- 2023 – 2025: Member of the ISS WG (Istituto Superiore di Sanità – Italian public health advice) on radiation oncology safety
- 2023 – 2024: Member of the ESTRO guidelines committee for spine SBRT
- Member of: European Society for Radiotherapy & Oncology (ESTRO); European Federation of Organizations for Medical Physics (EFOMP); Italian Association of Medical Physics and Radioprotection (AIFM); Associated to National Institute of Nuclear Medicine (INFN)
- Scientific Committee member for annual congresses: ESTRO (2016, 2019), AIFM (2018, 2025), EFOMP/ECMP (2021)
Awards and Honors
- Principal Investigator of a grant (450k euro) funded by the Italian Ministry of Health (“Ricerca Finalizzata”) for the project: “Artificial Intelligence algorithms to automate the Total Marrow (Lymph-node) Irradiation by VMAT optimization using WB-CT/MRI and synthetic WBCT: The AuToMI project”)
Other
- 2023 – present: Physics and Imaging in Radiation Oncology
- 30+ publications in major medical physics journals (since 2014)
Expert in medical physics applied to advanced radiotherapy techniques, with extensive experience in treatment planning optimization, dosimetry, and quality assurance, focusing on improving precision, automation, and patient safety through innovative technologies. Significant contributions include the development and clinical implementation of automated tools for volumetric modulated arc therapy (VMAT) and image-guided radiotherapy (IGRT) to enhance efficiency and reproducibility in complex treatment protocols. Specialist in the development and clinical application of stereotactic body radiation therapy (SBRT) and Total Marrow (Lymph-node) Irradiation (TMI/TMLI).
Main research interests include:
- Automation and artificial intelligence in radiotherapy, with a focus on quality assurance and treatment planning optimization.
- Physics of stereotactic body radiation therapy (SBRT).
- Physics of Total Marrow (Lymph-node) Irradiation (TMI/TMLI) for hematologic malignancies.
- Risk management and failure modes and effects analysis (FMEA) in radiotherapy.
- Proton therapy physics.
- Deep learning-based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy. Lambri N, […], Mancosu P. Med Phys. 2024 Jun;51(6):4402-4412. doi: 10.1002/mp.17089.
- Recommendation on the technical and dosimetric data to be included in stereotactic body radiation therapy clinical trial publications based on a systematic review. Hardcastle N, […], Mancosu P. Radiother Oncol. 2024 Jan;190:110042. doi: 10.1016/j.radonc.2023.110042.
- Applications of artificial intelligence in stereotactic body radiation therapy. Mancosu P, et al. Phys Med Biol. 2022 Aug 8;67(16). doi: 10.1088/1361-6560/ac7e18
- Total marrow and total lymphoid irradiation in bone marrow transplantation for acute leukaemia. Wong JYC, Filippi AR, Scorsetti M, Hui S, Muren LP, Mancosu P. Lancet Oncol. 2020 Oct;21(10):e477-e487. doi: 10.1016/S1470-2045(20)30342-9.
- Applying Lean-Six-Sigma Methodology in radiotherapy: Lessons learned by the breast daily repositioning case. Mancosu P, et al. Radiother Oncol. 2018 May;127(2):326-331. doi: 10.1016/j.radonc.2018.02.019.