I joined CLARIFY to do a PhD on the application of deep learning techniques for the characterization of spitzoid melanocytic lesions.
I was born in the French Basque Country but raised in a small town near Disneyland Paris. I studied Engineering at the ECE PARIS University in the French capital, where I specialized in Information Systems and Data Science.
Throughout my studies, I always tried to orient my experiences towards making an impact in the Social and Medical fields. This led me to do an internship in a startup analyzing videos of common life situations to help guide visually impaired people. As my interest for artificial intelligence grew, I then joined a research group on top of the classes I had at the time, to discover the research field and apply deep learning to actual medical problems. There, I helped doctors decide whether a jaw operation was required by analyzing odontological images with deep learning.
When I started my Master’s thesis in the Spanish national center for cardiovascular research, focusing on the analysis of cell images to predict their toxicity mechanism, I already knew I would continue my journey in research afterwards. I thus started to look for a PhD opportunity at the intersection of AI and medicine. When I saw the opportunity to join CLARIFY to develop innovative deep learning algorithms for the diagnosis and prognosis of skin lesions, it was clear to me that I wanted to be a part of the project. I thus joined CLARIFY as ESR7 to do a PhD on the application of deep learning techniques for the characterization of spitzoid melanocytic lesions.
“With two PhD students of the CVBLAB group at the UPV” “Outside the research center’s entrance”
“Innovation Center of the UPV: building in which the CVBLAB is”
So grateful to be a part of this adventure! 😊
Laëtitia – ESR7.