Real-World Evidence
Designing and analysing observational oncology studies with routine clinical data, registries, and multicentre research datasets.
Biostatistician · RWE · Oncology
Building reliable evidence from complex health data.
I work in biostatistics, with a focus on oncology and epidemiology. My research involves real-world data, predictive modelling, and AI applications in healthcare. I am genuinely interested in AI, both its transformative potential and the methodological challenges it brings.
Download CV View publications
Upcoming
Attending the International Biometric Conference 2026 (IBC2026).
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Conference
View my abstracts presented at the IARC@60 Conference — two posters on melanoma prevention and indoor tanning epidemiology.
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Upcoming
Attending the University of Milano-Bicocca conference on universalism and equity in the Italian National Health Service, with a focus on longevity promotion.
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Upcoming
Participating in the Women for Skin Cancer congress in Genova, 28–29 June 2026, on gender medicine and skin cancer research.
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About
I am a biostatistician and PhD candidate in Public Health, Epidemiology, Statistics and Economics, and a Research Fellow in Biostatistics at the European Institute of Oncology in Milan.
My work involves real-world oncology data, epidemiology, and predictive modelling, using approaches such as survival analysis, competing risks, validation studies, radiomics, and AI in healthcare.
Profile snapshot
Current role
Research Fellow in Biostatistics, European Institute of Oncology
Training
PhD candidate,
University of Milano-Bicocca
University of Milano-Bicocca
Visiting scholar
Harvard Medical School – Brigham and Women's Hospital,
TIMI Study Group Lab
TIMI Study Group Lab
Member
Early Career Biostatisticians,
ISCB Group Mentorship Programme
ISCB Group Mentorship Programme
Collaborations
Euromelanoma Program
Contribution to epidemiological research, prevention strategies, and the analysis of behavioural and clinical data in melanoma.
Visit project →M-SKIP Network
Development of predictive models and statistical analyses of clinical, epidemiological, and genetic data in skin cancer research (International Multicentric Collaboration).
Visit project →AI & Radiomics Board – IEO
Methodological and statistical evaluation of AI- and radiomics-based oncology projects at the European Institute of Oncology.
Visit project →AIRC-funded Research Project
Research within the AIRC-funded project "Radiogenomics for predicting underestimation of invasiveness in DCIS diagnosed with Vacuum Assisted Breast Biopsy" (AIRC GI 2021 – DI 25816).
Visit project →Italian Ministry of Health – Ricerca Finalizzata
Research within the grant-funded project "Ricerca Finalizzata GR-2016-02362050", contributing to the study of liquid biopsy applications in oncology.
View publication →Expertise
I apply statistical modelling and reproducible data workflows to support oncology research, from study design through to analysis and reporting.
Statistical Modelling
Building interpretable models for survival outcomes, competing risks, prediction, and epidemiological questions in clinical research.
AI & Radiomics
Evaluating AI and imaging-derived features with attention to reproducibility, clinical utility, and transparent methodological reporting.
Model Evaluation & Calibration
Studying and applying methods for the assessment of predictive models, with a focus on calibration and performance evaluation in clinical research.
View related workPublications
I publish across oncology, epidemiology, real-world evidence, radiomics, and AI applications in healthcare, with a focus on methods that can support clinical research and public health decisions.
47
peer-reviewed publications
10
H-index
Featured papers
Age-specific melanoma risk associated with nevi: a pooled analysis from the M-SKIP project
Journal of the German Society of Dermatology · Doi G., Gaeta A., Ribero S., Gruis N., Newton-Bishop J., Polsky D., Lazovich D., Ghiorzo P., Ribas G., Menin C., Stratigos A.J. et al.
View paperSex and gender influence on adverse events for melanoma patients: a comprehensive review and meta-analysis
British Journal of Cancer · Gaeta A., Nuvoli L., Doccioli C., Caini S., Saponara M., Cimminiello C., Cosma C., Palmieri G., Cossu A., Vicini F., Mazzarella L., Tosti G., Queirolo P., Gandini S.
View paperHistopathologic yields and concordance of in-bore MRI-targeted biopsy for prostate cancer diagnosis
Radiology · Sattin C., Pizzi C., Summers P., Gaeta A., Gandini S., Alessi S., Petralia G. et al.
View paperAre sex and gender considered in head and neck cancer clinical studies?
npj Precision Oncology · Gaeta A., Tagliabue M., D'Ecclesiis O., Ghiani L., Maugeri P., De Berardinis R., Veneri C., Gaiaschi C., Cacace M., D'Andrea L., Ansarin M., Gandini S., Chiocca S.
View paperTop cited papers
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Research, Media & Impact
Research network
Oncology research in Milan, with connections to international collaborations.
Based at IEO in Milan, I work across biostatistics, oncology, and epidemiology, with projects spanning melanoma prevention, radiomics, AI-based prediction, and breast cancer research. I also spent time as a Visiting Research Scholar at Harvard Medical School within the TIMI Study Group.
Posters & Abstracts
Conference record
Selected oncology abstracts and poster work, with a focus on melanoma, AI in medicine, treatment evidence, and rare breast tumour research.
2025
2025
2024
2022
Sex and gender influence on adverse events for melanoma patients
A comprehensive review and meta-analysis of adverse event patterns in melanoma care.
Public perspectives on artificial intelligence in medicine and radiology
Survey-based evidence from an Italian cancer referral center on trust, use, and expectations around AI.
Fibroadenoma-like areas in malignant phyllodes tumors of the breast
A retrospective analysis from a referral center on rare breast tumour pathology.
Triplet combinations of immunotherapy and targeted therapy
Meta-analysis of randomized phase II-III trials in BRAF V600-mutant melanoma.
Invited Talks & Conference Presentations
Speaking record
Selected presentations where I have shared methodological and applied oncology work with clinical, epidemiological, and biostatistical research communities.
The prognostic role of sex and anemia in tongue cancer patients
Presented at the 10th Congress of the International Society of Gender Medicine, with collaborators Oriana D'Ecclesiis, Marta Tagliabue, Rita De Bernardis, Sara Gandini, Mohssen Ansarin, and Susanna Chiocca.
M-SKIP Project: Melanoma risk and mole count across age groups
Presented at the 32nd International Biometric Conference in Atlanta, evaluating how the association between melanoma and mole count varies by age group.
Notes
ALLSTAT digest — May 2026
ALLSTAT is a UK-based mailing list for statisticians covering job postings, software tips, methodological discussions, and announcements from the statistical community. This month's digest is worth a read.
Open digest →International Biometric Society
Visit IBS →International Society for Clinical Biostatistics
Visit ISCB →Contact
Open to research collaborations, talks, and academic enquiries.
Feel free to get in touch if you work in oncology, epidemiology, real-world evidence, radiomics, or AI in healthcare.