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Martin BLANCHARD
A LOOK AT MARTIN'S HISTORY
After his degree in image and computer science at Télécom Saint-Étienne, Martin worked at the Hubert Curien laboratory for one year as a research engineer on a project to denoise tribological signals using deep learning. Following this, he started his thesis, the aim of which is to propose a method of quantitative characterization of human cells to evaluate the functional damage linked to the toxicity of a drug or a pathology, using explainable deep learning models.
MARTIN'S MOTIVATION FOR SCIENTIFIC RESEARCH
My first experience in scientific research was my end of studies internship, on a topic close to my PhD. I really loved working on biological problems because they have very specific challenges that are super motivating to overcome. It was the first time I was able to apply what I knew to a concrete project. I designed a model capable to analyze images of human renal cells acquired with fluorescence microscopy to quantify the toxicity of a drug. We validated it with known toxic drugs and highlighted a morphological change on these cells, probable consequence of the treatment. Following this first draft, I now have the opportunity to go further during my PhD.
ACADEMIC STATUS
PhD student
DOCTORAL SCHOOL
ED 488 SIS (Science, Engineering, Health)
LABORATORY
Hubert Curien Laboratory (UJM, CNRS, IOGS)
RESEARCH PROJECT
XDeepCell - Ongoing