Rene Bidart
Founder at Norintec
Halifax, Nova Scotia, Canada
Summary
👤
Senior🎓
Top SchoolRene Bidart is a founder and PhD candidate at the University of Waterloo specializing in computer vision and deep learning, with 11 years of experience bridging research and product-oriented ML work. He has applied deep learning in industry through roles at AWS (two applied research internships), Shell Street Labs, Synthesis Health, and a research stint at the Bank of Canada, demonstrating an ability to move models from experimental stages toward real-world impact. Based in Halifax, he recently launched Norintec to commercialize applied AI solutions, combining academic rigor with entrepreneurial drive. His background in statistics and mathematics underpins a quantitative approach to vision problems, and his repeated internships at AWS suggest strong experience deploying research within cloud ecosystems. Notably, he balances long-form doctoral research with hands-on engineering in production contexts, making him comfortable both publishing and shipping.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Mathematics Honours: Co-op, Bachelor of Mathematics Honours: Co-op at Carleton UniversityExchange program, Exchange program at Leeds UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Waterloo
Github Skills (37)
adversarial-attacks9
keras9
toolbox8
pytorch7
reference-implementation7
machine-learning7
segmentation7
python7
efficientnet7
computer-vision6
resnet6
deep-learning6
tensorflow6
classification6
modular6
Programming languages (2)
Github contributions (5)
renebidart/adv-denoising
Sep 2018 - Mar 2020
Contributions:10 commits, 2 pushes, 2 comments in 1 year 6 months
renebidart/camelyon
Feb 2018 - Dec 2018
Classification of WSIs from the Camelyon dataset in Pytorch
Contributions:18 commits, 9 pushes in 10 months
pytorchdeep-learningdatasetwsisclassification
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