Tristan Gomez

Nantes, Pays de la Loire, France
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Summary

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Senior
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Top School
Tristan Gomez is a PhD candidate and researcher with eight years of experience specializing in computer vision, interpretable AI, and deep learning applied to medical and video domains. He has developed novel models and evaluation tools for explainability, notably applied to human embryo quality prediction to support IVF biologists. His work spans spatial-temporal segmentation, detection and counting in medical imaging, and practical scene-change detection in film using end-to-end CNNs without hand-crafted features. Tristan combines academic rigor from Nantes Université with industry research experience at LS2N, Monk AI and CRIM, delivering publishable results and reproducible experiments. He is comfortable taking prototypes toward real-world use and brings a pragmatic focus on interpretability and evaluation metrics that make models actionable for domain experts. Based in Nantes, France, he blends deep technical depth with an uncommon emphasis on human-centered explanations in vision systems.
code8 years of coding experience
job2 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Nantes Université
bookEngineering degree, Computer science, Engineering degree, Computer science at Polytech Nantes
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Github Skills (12)

transfer-learning8
meta-learning8
few-shot-learning8
pytorch3
classification3
tensorflow3
xai2
mixture-of-experts2
machine-learning1
deep-learning1
action-recognition1
3d1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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TristanGomez44/clustNet

Dec 2018 - Sep 2019

A pytorch neural net to do weakly-supersived learning using a hard mixture of experts
Contributions:13 commits, 3 pushes in 10 months
mixture-of-expertspytorch
Contributions:225 commits, 51 pushes, 4 comments in 5 months
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