Francesco Rubbo is a Staff Machine Learning Engineer with 12 years of experience building production-ready ML systems across industry and research, currently focused on biologically-driven ML at Altos Labs. He combines deep expertise in representation learning for text and faces, object detection/tracking, and scene understanding with a strong track record in high-content imaging and drug-discovery applications. At Spring Science he led the creation of public phenotypic benchmarks, developed masked image modeling and multi-instance learning for single-cell feature extraction, and improved downstream task accuracy by up to 20%. Earlier roles at Clarifai and Apple show his ability to ship scalable NLP and inference pipelines, migrate core platforms, and deploy multilingual moderation and face recognition models at scale. Trained as a physicist (PhD), he brings rigorous experimental design and large-data experience from particle physics to applied ML, pairing research-driven methods with practical MLOps and cross-functional leadership. An under-the-radar strength is his knack for translating domain scientist needs into robust pipelines and benchmarks that expose confounders and improve reproducibility.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Universitat Autònoma de Barcelona
Master's degree Physics, Master's degree Physics at Università degli Studi di Torino
Contributions:241 commits, 6 PRs, 15 pushes in 6 years 3 months
bayesian-inferencebayesian
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