Petru-daniel Tudosiu
Senior Research Scientist - Project Lead at Canva
Stony Stratford, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolPetru-daniel Tudosiu is a Senior Research Scientist and project lead with 11 years of experience specializing in applied deep learning for generative modelling, anomaly detection, segmentation and self-supervised learning. He has led multidisciplinary teams and collaborations (including with University of Melbourne) to deliver production-facing AIGC services and published at top venues like CVPR and NeurIPS. His PhD work produced the first morphologically preserving generative model of the human brain and a DALL·E-style brain generator that attracted industry coverage, demonstrating a rare blend of novel research and practical code releases reused in anomaly detection. At Huawei he translated research into a cloud API and secured multiple patents and awards for image decomposition work, and he continues to shepherd projects end-to-end at Canva. An active open-source contributor, he has improved medical imaging tooling such as NiftyNet by fixing TensorFlow compatibility and enhancing subpixel layers—showing attention to engineering detail as well as scientific rigor. Based in the UK, he welcomes internships and mentorship opportunities that bridge challenging engineering problems with scientific inquiry.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of SouthamptonDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at King's College LondonUniversity College London
Romanian, English, Japanese, French
Stackoverflow
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Github Skills (8)
mask-rcnn10
computer-vision10
faster-rcnn10
machine-learning10
tensorflow10
python10
test-automation8
medical-image-analysis8
Programming languages (6)
Github contributions (5)
NifTK/NiftyNet
Jun 2019 - Oct 2019
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Role in this project:
ML Engineer
ML EngineerContributions:7 commits, 3 PRs, 14 pushes in 4 months
Contributions summary:Petru-daniel contributed to the NiftyNet repository by modifying and testing segmentation loss functions, resolving issues related to TensorFlow compatibility. They restructured the subpixel layer, integrating ICNR initialization and average pooling post-processing. The user also addressed bugs, implemented debug logging, and fixed hardcoded values in the subpixel layer.
image-analysistherapymedical-imagedeep-learningconvolutional
AmigoLab/SynthAnatomy
Jul 2021 - Oct 2022
Contributions:9 commits, 8 pushes, 1 branch in 1 year 3 months
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