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.