Summary
Claudia Calabrese is a Staff Bioinformatics Scientist with 11 years of experience blending molecular biology, human genetics, and advanced computational methods to interpret genomic variation, particularly in cancer. With a PhD in Human Genetics and a strong track record at EMBL-EBI, University of Cambridge, and Illumina, she combines GWAS, mitochondrial genomics, long-read sequencing, and statistical genetics to tackle complex genomic questions. Currently focused on applying deep learning to cancer genomes, she brings both wet-lab grounding and rigorous quantitative skill to production-focused bioinformatics. Based in Cambridge and originally from Italy, she is experienced at translating large-scale pancancer analyses into actionable insights, and is known for developing statistical approaches that link mtDNA variation to gene expression—an angle that often reveals subtle regulatory effects missed by standard pipelines.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Cell and Molecular Biology, 110/110L, Bachelor's degree, Cell and Molecular Biology, 110/110L at Università degli Studi di Bari
Master's degree, Cell and Molecular Biology, 110/110L, Master's degree, Cell and Molecular Biology, 110/110L at University of Bari
Doctor of Philosophy - PhD in Human Genetics, Human Genetics, Mitochondrial Genomics, Cancer Genomics, Doctor of Philosophy - PhD in Human Genetics, Human Genetics, Mitochondrial Genomics, Cancer Genomics at Università degli Studi di Torino
Italian, English