Joseph Viviano

Montreal, Quebec, Canada
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Summary

🤩
Rockstar
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.
code11 years of coding experience
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Github Skills (139)

python10
generative10
deep-learning10
medical-image-analysis10
medical10
scikit10
statistics10
ml10
neural-network10
transfer-learning10
hash10
data-science10
tensorflow10
x-ray10
data-analysis10

Programming languages (6)

C++CSCSSJavaScriptJupyter NotebookPython

Github contributions (5)

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TIGRLab/tigrlab.github.io

Jan 2015 - Sep 2017

tigrlab website
Contributions:95 commits, 106 pushes in 2 years 9 months
josephdviviano/whatsinthebox

Jan 2021 - Aug 2022

analysis of public NLP corpora
Contributions:65 commits, 4 PRs, 3 pushes in 1 year 7 months
nlporangecorporacorpusnltk
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Joseph Viviano