Joseph Viviano is a Machine Learning Scientist in Montreal with over 10 years of applied research experience using ML to accelerate discovery in biology, biomanufacturing, agriculture, and healthcare. At Mila he builds applied ML-for-science solutions rooted in Yoshua Bengio’s group and previously led self-supervised, large-scale representation learning and out-of-distribution generalization work for genomics at Deep Genomics. His neuroscience background (MSc) informs trustworthy medical imaging research — he even helped identify a previously unobserved thalamic region in living humans — and he pairs that domain depth with production engineering experience across data platforms, compute clusters, edge systems, and anomaly detection pipelines. As a mentor at Creative Destruction Lab and a PhD-to-VC fellow, he advises early-stage AI startups on technical roadmaps and commercialization of deep-tech. He consistently blends rigorous research with pragmatic engineering to move ML prototypes into impactful, real-world pipelines.
Contributions:65 commits, 4 PRs, 3 pushes in 1 year 7 months
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