Roberto Spreafico is a data science leader in discovery-stage biopharma, currently Vice President and Head of Discovery Data Science at Genmab, with 15+ years translating genomics and single-cell data into actionable drug-discovery insights. He has driven AI-assisted antibody discovery—developing deep learning generative models for antibody naturalness and binding affinity—and contributed computationally to programs that supported Sotrovimab’s preclinical development and IND. Roberto blends hands-on bioinformatics engineering (Nextflow pipelines, R/Shiny apps, AWS infra) with close experimental collaboration, notably rescuing lost antibody clones via sequencing innovations and optimizing high-throughput assays to produce higher-quality training data. He has led cross-functional teams, presented at leading antibody engineering conferences, and published work in preprint and peer contexts. Based in Brussels, he holds a PhD in Translational and Molecular Medicine and brings rare depth across wet-lab, computational, and regulatory domains.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Translational and Molecular Medicine (Dissertation in Immunology), Doctor of Philosophy - PhD Translational and Molecular Medicine (Dissertation in Immunology) at Università degli Studi di Milano-Bicocca
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