Latest News
Several students from the Lemieux laboratory will present their research work as part of the 32nd conference on Intelligent Systems for Molecular Biology (ISMB). The conference will be held from July 12 to 16 in Montreal: come see the posters of our students! To learn more about the work that will be presented there, continue reading.
Congratulations to Dr. Caroline Labelle for successfully completing her thesis defense! Her thesis, entitled Development of an analyzing process for dose-response experiments by Bayesian inference and its application to large datasets, will be available shortly in the Papyrus system of UdeM.
Nicolas Jacquin and Ann-Sophie Gironne presented the current research work of the Lemieux Laboratory on June 5, during the edition 2024 of the IRIC student recruitment competition. They were able to discuss with potential future graduate students, who had come from the four corners of the earth to visit IRIC.
Carl Munoz gave a presentation on using deep learning diffusion models for denoising of low-depth RNA-seq data at this year Great Lakes Bioinformatics Conference (GLBIO). GLBIO is organized by the Great Lakes Bioinformatics Consortium to provide an interdisciplinary forum for the discussion of research findings and methods.
Toky Raharison Ralambomihanta joins the Lemieux Laboratory to complete a summer internship. Welcome!
Congratulations to Léa Kaufmann who won the “People’s Choice” award for her poster presentation. The latter focused on the use of gene expression profiles for the prediction of biological activity of chemical compounds in cancer cells. Léa also had the opportunity to present her research work in the form of an oral presentation. Well done!
Léonard Sauvé will host the third Tech-Talk (IRIC) of the year on the theme of editing figures for scientific publications. His presentation will be held on May 9, from noon to 1:30 p.m., at the IRIC Incubator. For more information, please contact the AÉIRIC.
Congratulations to Dr. Jérémie Zumer for successfully completing his thesis defense! His thesis, entitled Deep learning algorithms for database-driven peptide search, will be available shortly in the Papyrus system of UdeM.
