Members

After a PhD in Cell and Tissue Engineering conducted in France and 5 years of post-doctoral training at Université Laval in Quebec City, Emilie developed a strong expertise in cell and tissue cultures as well as in animal experimentation. Her biomedical background developed through a Master’s degree in biomedical engineering allows her to link biological and computer sciences.

In 2016, Jehane completed a master’s degree in Human Pathology: contagion and prevention from Aix-Marseille Université, Marseille, France. During her Master, she studied colistin resistance in Enterobacteria. While she was performing the latter work her interest in Bioinformatics grew. Since she wanted to pursue a doctorate degree in microbiology and improve her bioinformatic knowledge, she chose a Ph.D project that allowed her to enhance her skills in both subject. She is now as a Ph.D student, studying the gut microbiome of an Inuit cohort from Nunavik (Northern Québec, Canada) aged from 16 to 30 years old.

With a strong interest for pharmaceutical and biotechnological research, Emmanuel obtained a Bachelor’s degree in pharmacology and a Master’s degree in cellular biology. After working during 3 years in big and small companies, he joined the team to participate in the generation of large biological datasets and gain experience in molecular biology and bioinformatics. His focus is to develop Organ-On-a-Chip models for mutli-parametric high-throughput assays. By collaborating with multidisciplinary teams in both academia and industry, he wants to build a platform for researchers allowing the collection of large amounts of highly valuable data with minimal manpower.

Minja is a PhD candidate working in the laboratory of Dr Jacques Corbeil. Originally from Serbia, she finished her Bachelor’s degree in molecular biology and spent a year in France doing translational research with the special emphasis on the implementation of genome editing technologies for therapeutic purposes, at University Paris Saclay where she obtained her Master’s degree. Her current research focuses on utilizing a suite of novel high-throughput genomic perturbation platforms, CRISPR-based genome editing and single cell RNA-sequencing to better understand platelets biology. During her free time, she likes to stay active and escape the lab to go rock climbing or play tennis.

Thibaud completed a master's degree in computer science. He is interested in applications of data science and machine learning to science fields, particularly bioinformatics. During his internship with Corbeil Laboratory in 2020, he developed an ensemble learning method suited for untargeted metabolomics data. Now, as a Ph.D student, he continues to work on interpretable machine learning algorithms for high dimensional omics data. His goal is to implement ideas from causal inference methods to improve biomarkers discovery in Omics data.

Maxim obtained a Master’s degree in chemistry focused on metabolomics from Université Laval after completing a technical college diploma in analytical chemistry and a Bacchelor’s degree in organic chemistry. He worked as a researcher for over 10 years at TransBIOTech, a center for research and transfer in biotechnology, and developped numerous characterization methods for natural health products and biopharmaceutical industries. He acquired an expertise in liquid chromatography coupled with triple quadrupole and high-resolution time-of-flight mass spectrometry instruments to analyze complex matrices. He joined Dr Jacques Corbeil’s lab as a Ph.D candidate in Molecular Medecine specialized in lipidomics after studying that field as a doctoral student in Pharmaceutical Sciences.

Passionate about algorithms, Vincent’s academic background is very concentrated around the themes of machine learning and more generally artificial intelligence. Thus, he is interested in the application of these mechanisms to medical data. In addition, he also works as a builder and maintainer of libraries to allow the use and the simple implementation of the trained models.