Corbeil Laboratory

Members

Jacques Corbeil

Principal Investigator

Dr. Jacques Corbeil, Canada Research Chair in Medical Genomics, focuses on deciphering the interactions between agents such as HIV-1, respiratory viruses and other microorganisms and the human host. He uses new algorithms, machine learning and bioinformatics approaches to sort out these complex host-pathogen systems.

After a PhD in Cell end Tissue Engineering in France, and 5 years of post-doctoral training in Université Laval at Quebec City, I developed a strong expertise in cell and tissue cultures as well as in animal experimentation. My biomedical background throught a Master degree in Biomedical Engineering allows me to make the link between biological and computer sciences.

Nancy Boucher

Research professional

We used to concentrate our applications on metabolomic and metagenomic analysis profile. By innovative and advanced mass spectrometry methods we focus on specific metabolomic signatures for clinical, industrial or academic aspects. Several topics likes antibiotic resistance, diagnostic development, food analysis and infectious disease are part of our studies. We also routinely use high throughput sequencing (HTS) analysis approach for multiple applications in metagenomic. This can include environmental samples, infectious disease, and microbiote analysis. All those big data generated by metabolomic and metagenomic analysis leads me to learn more about bioinformatic workflow.

Elsa Rousseau

Postdoctoral scholar in Molecular Medicine

Elsa Rousseau has a PhD in mathematical and computational biology. She has worked on the dynamics and competition of viral populations and their evolution. She did her PhD at the National Institute of Research in Informatics and Automatics in Sophia Antipolis, France, where she was studying the impact of genetic drift and selection on the durability of plant genetic resistance to viruses. She then worked as a postdoctoral researcher at IBM (International Business Machines) in San Jose, CA, USA, where she was focusing on the design principles of defective interfering particles as a competition-based therapy against viruses. She is now a postdoctoral scholar in the Corbeil lab, where she is developing Machine Learning algorithms to predict off-target effects in CRISPR-Cas9.

Paul George

Postdoctoral Researcher

I am a microbial ecologist, specialising in soils. As part of the Corbeil lab, I am working on a number of interdisciplinary projects across ULaval. My main goal is to develop the Ecochip as a tool for isolating and culturing microorganisms in situ; however I am also involved in studying other aspects of microbial communities and their biological and functional diversity in soils. I previously worked on a national-scale soil metabarcoding survey as part of my PhD at (Bangor University, Bangor, UK) and studied both nematode and microathropod communities as part of my Masters (UWO) and undergraduate (Dalhousie University) degrees.

Maxime Déraspe

Ph.D Molecular Medicine

After completing a formation in computer sciences, I wanted to gain more domain knowledge in biology, which led me to study bioinformatics. So far, I have been involved in research projects regarding bacterial resistances, genomics, metagenomics as well as machine learning methods applied to different omics. Throughout the years, I have developed a lot of interests in data engineering methods for large scale applications and different database technologies (SQL, NoSQL, Semantic Web and graph databases).

Pier-Luc Plante

Ph.D Molecular Medicine

Mazid Abiodoun Osseni

Ph.D Candidate Informatics

Since highschool, I’ve always wanted to work in biological sciences without staying in wet lab. This is why i pursue a carrer in Bioinformatics field. By doing so, i grow a strong interest into computer sciences too. I did a master into computational neuroscience modeling. By working with the Groupe de Recherche en Apprentissage Automatique de l’université Laval (GRAAL) and the Corbeil Lab, i want to apply machine learning methods to biological data, in particular to cancer data and to apply the learning methods to systems biology aspect of biological question.

I was always interested in Computer sciences and biology. Since I wanted to explore both, I started my career with a Bachelor’s degree in Bioinformatics. Pursing the goal to solve hard problems in biology using artificial intelligence, I started a Master in machine learning. So far, my coworkers and I, have tried to develop a new approach to find an inhibitor for a pharmaceutical target. This work can greatly improve the discovery of new drugs. I am also working to improve proteins’ structure prediction using the new algorithms in machine learning.

Jehane Abed

Ph.D Microbiology-Immunology

In 2016 I completed a Masters degree in Human Pathology: contagion and prevention from Aix-Marseille Université, Marseille, France. During my Masters I studied colistin resistance in Enterobacteria. While I was performing the latter work my interest in Bioinformatics grew. Since I wanted to pursue a doctorate degree in microbiology and improve my bioinformatic knowledge, I chose a Ph.D project that would allow me to enhance my skills in both subject. I am now as a Ph.D student, studying the gut microbiome of an Inuit cohort from Nunavik (Northern Québec, Canada) ages 16 to 30.

Emanuel Paré

Ph.D Molecular Medicine

With a strong interest for pharmaceutical and biotechnological research, I obtained a bachelor’s degree in pharmacology and a master’s degree in cellular biology. After working for 3 years in big and small companies, I joined the team to participate in the generation of large biological datasets and gain experience in molecular biology and bioinformatics. My 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, we build research projects that allow us to obtain large amounts of highly valuable knowledge with minimal manpower.

Francis Brière

Ph.D Molecular Medicine

I first started to work under Dr. Jacques Corbeil as an undergraduate student in May 2017. The internship taught me the skills needed to run metabolomics experiments using mass spectrometry. After completing my bachelor’s degree in microbiology in May 2018, I decided to pursue a master`s degree in molecular medicine. My work focuses on the development of high-throughput mass spectrometry techniques and the application of machine learning tools to mass spectrometry datasets.

Élina Francovic-Fontaine

M.Sc. Molecular Medicine

I've always been interested in research. This is why I have completed my bachelor's degree in Bioinformatics. As an undergraduate student, I've worked in Corbeil Laboratory and developped a strong interest in machine learning. For my master's degree, I now focus on the application of machine learning to metabolomic data.

Juan Manuel Dominguez

M.Sc. Molecular Medicine

I’m currently finishing a Degree in Bioinformatics and I plan to pursue a Master's Degree afterwards. At the Corbeil Laboratory, I’ve been mostly working on projects that analyze metagenomic data. Recently, I’ve been studying the core microbiome in both healthy and ill individuals using machine learning tools and statistical methods.

Edwige Zufferey

Trainee

I'm an undergraduate student in bioinformatics from Switzerland. I'm currently working on the development of a computational tool that predicts the host of a bacteriophage, based on the DNA sequences of bacteria and phages.

Thibaud Godon

Trainee

I pursue a computer science master's degree in an engineering school in France. I am interested in applications of data science and machine learning to science fields, particularly bioinformatics. I work on machine learning algorithms for metabolomic data analysis.

Fadwa Mehdaoui

Trainee

I’ve always been interested in biological science and computer science, that’s why I choose to do a bachelor in bioinformatics. At the moment, I’m working on the analysis of the human intestinal microbiome of the Inuit in the north of Quebec by studying the influence of the region on the microbiome.

Alumni

Lynda Robitaille

Anahi Gambino

Ph.D

Charles Burdet

MD. Ph.D

Alexandre Drouin

Ph.D

Francis Brochu

M.Sc.

Charles Joly Beauparlant

Ph.D

Frédéric Raymond

Ph.D

Sébastien Boisvert

Ph.D

Sébastien Giguère

Ph.D

David Paladini

M.Sc.

Miguel Retamal

Ph.D

Mélissa Sirois

Ph.D

Thibault Varin

Ph.D