Roger Trullo

Senior Research Engineer at InstaDeep

France
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Summary

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Roger Trullo is a Senior Research Engineer with a PhD in Deep Learning applied to medical imaging and over a decade of experience deploying ML and computer vision solutions across pharma, aerospace, and research settings. He has led applied research from classical methods to state-of-the-art deep learning—designing CNN/FCN segmentation models, GAN-based image synthesis, and anomaly detection pipelines for CT and MRI data. At Sanofi and Safran he translated research prototypes into domain-ready bioimaging and NDT tools, and now advances applied ML at InstaDeep. Comfortable with probabilistic graphical models and Bayesian approaches as well as modern deep learning, he brings a strong blend of theoretical rigor and production-minded engineering. An unusual thread through his career is repeatedly bridging one-class and ensemble methods into practical anomaly detection systems for imaging tasks.
code10 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD Deep Learning applied to Medical Imaging, Doctor of Philosophy - PhD Deep Learning applied to Medical Imaging at Université de Rouen
bookMaster of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at Polytech Tours
bookElectronic Engineer Electrical and Electronics Engineering, Electronic Engineer Electrical and Electronics Engineering at Universidad del Valle (CO)
languagesSpanish, English, French
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1,506reputation
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14questions
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Github Skills (104)

python10
deep-learning10
computer-graphics10
gpu10
cyclegan10
convolutional-neural-networks10
numpy10
neural-network10
image-translation10
tensorflow10
image-manipulation10
pytorch10
receptive-field10
machine-learning10
generative-adversarial-network10

Programming languages (6)

C++JavaScriptLuaHTMLJupyter NotebookPython

Github contributions (5)

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rogertrullo/tiatoolbox

Aug 2022 - Nov 2024

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Contributions:2 PRs, 6 pushes, 7 branches in 2 years 3 months
pythontoolboxwarwicktiacomputational-pathology
Numerical Computation of Receptive Field in Pytorch
Contributions:7 commits, 1 PR, 6 pushes in 1 year 4 months
pytorchreceptive-fieldconvolutional-neural-networksdeep-learning
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