Summary
Gianni Monaco is a Principal Scientist based in Boston with 11 years of experience applying and developing computational methods to dissect cancer and ageing-related biological data. He combines deep bioinformatics expertise in NGS, microarray, flow cytometry and single-cell/multi-omics analysis with hands-on lab experience in cell isolation and immunophenotyping, enabling tight integration of wet-lab and computational workflows. His work spans algorithm and pipeline development for QC, clustering, deconvolution, network modelling and predictive algorithms for immunotherapy response, including participation in DREAM challenges and neoantigen/TCR repertoire analyses. Having led single-cell and spatial proteomics projects across academic and industry settings, he is adept at turning complex immunological data into actionable biological insight. Notably, he developed flowAI early in his career to automate anomaly detection in flow cytometry data, reflecting a long-standing focus on robust data preprocessing.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Bioinformatics and System Biology, Doctor of Philosophy (PhD), Bioinformatics and System Biology at University of Liverpool
Master of Science (MSc), Genetics and Biotechnology, Master of Science (MSc), Genetics and Biotechnology at University of Sannio, Benevento
Bachelor of Science (BSc), Human Biology, Bachelor of Science (BSc), Human Biology at University of Federico II, Naples