First person – Gaëlle Letort
Journal of Cell Science · 2022
ABSTRACT First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Gaëlle Letort is first author on ‘ An interpretable and versatile machine learning approach for oocyte phenotyping’, published in JCS. Gaëlle conducted the research described in this article while a post-doc in Marie-Emilie Terret and Marie-Hélène Verlhac’s lab at Collège de France, Paris. She is now a Research Engineer (CNRS) in the lab of Department of Developmental and Stem Cell Biology at Institut Pasteur, Paris, investigating mathematical modelling and image analysis applied to biology.