Research: Study and implementation of statistical models for the analysis of current data (SDO) and log data
CURRICULUM Methodological Statistics
WORKING EXPERIENCE:
03/2021 – 03/2022; Internship at the Department of Oncology and Molecular Medicine of the National Institute of Health, Rome, Italy. Statistical analysis of transcriptomic and proteomic data resulting from the use of RNA sequencing and Reverse Phase Protein Microarrays (RPPA) technologies on tumor samples.
EDUCATION AND TRAINING:
09/2014 – 03/2018
Bachelor's Degree in "Scienze Statistiche – Statistica Economia e Società", University of Rome “La Sapienza”. Graduated with a grade of 104/110. Thesis: "Analisi fattoriale robusta, un metodo resistente alla contaminazione dei dati".
09/2019 – 01/2022
Master's Degree in "Scienze statistiche" - Data Analyst, University of Rome “La Sapienza”. Graduated with 110/110 cum laude. Thesis: “Transcriptomic and proteomic data analysis of quiescent tumor stem cells: rna-sequencing and rppa”.
PUBLICATIONS:
Adriano Cuccu, F. Francescangeli, M. L. De Angelis, A. Bruselles, A. Giuliani, A. Zeuner: "Analysis of dormancy-associated transcriptional networks reveals a shared quiescence signature in lung and colorectal cancer", International Journal of Molecular Sciences, 2022.