Tristan Gomez
PhD Candidate
Nantes, Pays de la Loire, France
Summary
👤
Senior🎓
Top SchoolTristan 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.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Nantes UniversitéEngineering degree, Computer science, Engineering degree, Computer science at Polytech Nantes
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
mixture6
meta6
to-do5
few-shot-learning5
transfer-learning4
meta-learning4
deep-learning3
pytorch3
incremental-learning3
tensorflow2
mixture-of-experts1
machine-learning1
computer-vision1
action-recognition1
shift1
Programming languages (2)
Github contributions (5)
TristanGomez44/sceneDetection
Mar 2019 - Aug 2019
Contributions:225 commits, 51 pushes, 4 comments in 5 months
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
pytorchexpertsto-domixture-of-expertsmixture
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