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Postdoctoral Researcher

Paris Brain Institute, ARAMIS Lab - CNRS

Developping new approaches combining diffusion models and optimal transport for medical image data generation.

• Deep learning
• Generative models
• Diffusion Models
• Medical Imaging
• Neuroimaging

Doctoral Candidate

Paris Brain Institute, ARAMIS Lab - CNRS - Sorbonne Université

Working with deep learning generative models for unsupervised anomaly detection of brain images.

• Deep learning
• Generative models
• Variational Autoencoders
• Medical Imaging
• Neuroimaging

Data Science Internship

Upfluence

Data science of social media data for influencers marketing.

• NLP
• Social Media
• Influencer classification

Ph.D. in Computer Science

Sorbonne Université, Paris, France

Thesis title: Pseudo-healthy image reconstruction with deep generative models for the detection of dementia-related anomalies

• Deep learning
• Generative Models
• Medical Imaging

Master Degree

Université Claude-Bernard, Lyon, France

Data Science

• Data Science
• Machine Learning
• Probabilistic Graphical Models

Engineering Degree

Ecole Centrale de Lyon, Lyon, France

Engineering and Computer Science

• Deep Learning
• Computer Science
• Mathematics
• Statistics
• Computer Vision
• Signal Processing
• Control System
• Electronics
• Network engineering

Runner-up best poster Award at SPIE Medical Imaging international conference

SPIE

Originality Price at the Paris Brain Institute poster contest

Ajité

Runner-up best student project (Prix Francis Leboeuf)

Ecole Centrale de Lyon

Ajité young researcher association

Organizing young researcher life at the Paris Brain Institute.