Trained as a bioinformatician, Léonard Sauvé’s interests and studies involve using a vast repertoire of informatics tools and consolidating his biological knowledge. His first years of research during his BSc introduced him to structural biology at Dr. Sebastian Pechmann’s laboratory at the Université de Montréal. During the two summer internships at this lab, he studied structural motifs driving chaperone interactions in yeast. He then got introduced to developmental biology at the Montréal clinical research institute (IRCM) with Dr. Marie Kmita, where he was trained to perform chromatin markers and RNA expression analyses from high-throughput sequencing data in mice. Finishing his undergraduate studies, the university awarded him a PhD studentship, which led him to Dr. Sébastien Lemieux’s lab at the Institute for research in immunology and cancer IRIC in 2018. At IRIC, he works on developing machine learning approaches to evaluate the risk of human acute myeloid leukemia (AML) from gene expression data.

To learn more about Leonard’s project, follow this link.