Luca Zammataro

My research activity is focused on genome-wide association studies including WES, RNA seq and scRNAseq in Gynecology Oncology, and in the construction of Machine Learning algorithms for the identification of dominant epitopes recognized by T cells during checkpoint blockade immunotherapy. I have also proposed and coordinated the construction of new computational tools aimed at the identification of patterns of low-frequency nonsynonymous driver mutations in cancer.