Josselin Breugnot
SILAB: key interest is the sequencing of skin microbiota genes or the classification of LC-OCT images in vivo.
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About the Speaker
Dr. Josselin Breugnot has been a data scientist and head of the data science unit for 15 years in SILAB's R&D laboratory.
With a great attraction for the creation and scientific processing of images, he graduated from the French school Telecom Saint Etienne in 2007, member of the University of Lyon with a specialty in digital imaging.
After a research master's degree in optics, vision and signal, he prepared a thesis on a perceptually justified color image processing framework based on a model close to human vision.
He completed his doctorate in 2011 and has since published peer-reviewed articles on various topics such as the morphological study of mitochondria acquired by confocal microscopy, the sequencing of skin microbiota genes or the classification of LC-OCT images in vivo. using deep learning methods.
At Silab, he ensures the optimization of the creation, extraction and quantification of data as well as the proper use of statistics for data analysis and during the statistical decision-making process.
For this, it produces dedicated data processing tools in different programming languages, and thanks to a particular appetite for deep learning methods, deploys this revolutionary chapter of AI in the study of Silab dermo-cosmetic active ingredients.
