Regional Leads

The Regional Leads are responsible for the overall administration of STAGE Quebec including curriculum, seminars, trainee recruitment, and admissions.

Bureau, Alexandre

Alexandre Bureau

Professor, Department of Social and Preventive Medicine, Laval University
Marie Pierre Dube

Marie-Pierre Dubé

Professor, Department of Medicine, Faculty of Medicine, and Department of Social and Preventive Medicine, School of Public Health, University of Montreal
Headshot of Celia Greenwood

Celia Greenwood

Senior Investigator, Lady Davis Institute; Professor, Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University
Gravel, Simon

Simon Gravel

Assistant Professor, Department of Human Genetics, McGill University

Curriculum Leads

Bureau, Alexandre

Alexandre Bureau

Professor, Department of Social and Preventive Medicine, Laval University
Headshot of Celia Greenwood

Celia Greenwood

Senior Investigator, Lady Davis Institute; Professor, Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University

Application Instructions

October 15, 2025

STAGE Quebec offers an exceptional training environment in genetic epidemiology and statistical genetics, supported by mentors with internationally recognized expertise. Quebec has a longstanding strength in population genetics, particularly in studies of founder effects unique to the province. Its university network provides comprehensive programs in quantitative life sciences, biostatistics, epidemiology, public health, machine learning and AI, bioinformatics, genomics, population genetics, and human genetics.


Trainees also benefit from translational programs in clinical genetics, pharmacogenomics, precision medicine and genomic medicine. High-quality genetic and phenotypic data are available through Quebec-based cohorts such as CARTaGENE, the Montreal Heart Institute Biobank and numerous family cohorts, complemented by access to major national and international resources including CanPath, CLSA, UK Biobank and All of Us. This strong interdisciplinary and collaborative environment makes Quebec an ideal place for students to train in genetic epidemiology and statistical genetics.

  • Clinical, Genetic, Molecular and Pharmaco Epidemiology
  • Quantitative methods in Genetics and Genomics. E.g. Data Sciences, Statistical Genetics and Genomics, Computational Genetics and Genomics, Population Genetics.
  • Biomedical Genetics. E.g. Clinical Genetics and Technology Platform Development.

  • Bridging population genetics and clinical genomics.
  • Methodologic opportunities and challenges in the genomic era: from studies of pedigrees to GWAS and beyond.
  • Population and evolutionary genetics of common diseases.
  • Characterization of genetic risk factors in complex traits and special populations.
  • Evaluation and application of methods to assess genetic and environmental interactions in chronic diseases.
  • Development of novel statistical methods for genetic analysis of individuals and/or families.
  • Epigenetics and complex diseases.
  • Incorporation of post-GWAS technologies into population health research: next generation sequencing.
  • Development and implementation of population-based family designs.

It is the candidate's responsibility to secure at least two STAGE mentors to jointly supervise them in their project, one of whom will be referred to as your “Primary STAGE mentor” and will communicate with STAGE Québec. STAGE Québec emphasizes interdisciplinary representation among the mentors, so please ensure that your mentors have complementary research interests and expertise, and justify your choices in your one-page document on the inter- and cross-disciplinary aspects of your proposal.

  • PhD Students: Two-years or until the completion of their PhD program, whichever comes first.
  • Postdoctoral Fellows: Two-years.

STAGE will offer admission to successful applicants at the following stages of their education or career:

  • Postdoctoral fellows from relevant disciplines (see Section D, below), and
  • Full-time Ph.D. students enrolled in a doctoral program with a background in human genetics and strong computational and quantitative training.
Candidates must demonstrate exceptional academic performance and fulfill all requirements applicable to their level, as indicated in the table below.
Eligibility Requirements Ph.D. Students1 Postdoctoral Fellows 2, 3
A. Identify, approach, and engage a Primary Mentor from the STAGE Québec mentor roster. X X
B. Obtain a nomination from your Primary STAGE Québec Mentor. X X
C. Be enrolled in a doctoral program. X
D. Have a background or research interest in one of the following disciplines: Epidemiology, Biostatistics, Statistics, Mathematics, Molecular and Forensic Anthropology, Computer Science, or closely related fields. This includes quantitatively inclined branches of the life sciences such as Genetics, Bioinformatics, Computational Biology, and Psychology. Applicants from other relevant research areas may also be considered (see “Examples of Research Themes,” above). X X
1. Accepted Ph.D. students must meet the academic requirements of their doctoral program and STAGE, and must remain full-time students throughout their participation in the program. 2. Preference will be given to postdoctoral applicants with three years or less of postdoctoral experience at the time of application. 3. STAGE emphasizes strong quantitative skills. Applicants whose disciplines are not listed above, or whose research is not directly aligned with STAGE’s Research Themes, must include in their application a compelling explanation of their qualifications—supported by experience and documented through examples of their work.

Candidates must assemble all of the following documents and upload* them to the application form.

Only the primary mentor’s letter is to be completed and submitted online by the mentor. It is the candidate’s responsibility to ensure that their application is complete and submitted online by the competition deadline.

*Candidates do not need to send in hard copies of their supporting documents.

1. Summary of Proposed Research Project

  • Length. Two letter-size pages. 2.54 cm (1 inch) margin around the page. 12-point Times New Roman, black font. Single-spaced. No condensed type or spacing. Single PDF file.
  • Content. Using the following headings, describe the proposed research in enough detail to allow informed assessment by the admissions committee members. This summary should be written in general scientific language.
  • Proposed research background. Present, concisely, your project’s general objective and its specific aims. Include the scientific background, significance, originality, and anticipated contribution to the knowledge of the project; in other words, state what is the research problem, why this is an important research question, and why you are undertaking this project to address it.
  • Methodology. Describe and justify, for each of your project’s specific aims, your choice of specific instruments, strategies, key activities, expected outcomes, and timelines, including, for example, methodological approaches and procedures for data collection. For a statistical research project, for example, provide an outline of the proposed theoretical and computational approaches and any specific techniques required to develop and evaluate proposed new analytic methods, including critical features in the design of simulation studies and in the application of the methods to available or anticipated study data. In other words, state why your proposed methodology is ideal to achieve each of your project’s specific aims.
  • Candidate. Describe your role in the project and how it will prepare you for career goals in the fields of genetic epidemiology or statistical genetics. Explain the relationship and relevance of the proposed research to your long-term research goals. Describe how the proposed project relates to experiences and insights gained from earlier research experience.
  • References. If you'd like to include references with your application, please add them as separate pages to the Proposed Research Project section. This won't count toward the one-page limit for that section.

2. Inter- and cross-disciplinary nature of proposed research project

  • Length: half letter-size page. 2.54 cm (1 inch) margin around the page. 12-point Times New Roman, black font. Single-spaced. No condensed type or spacing. Single PDF file.
  • Please tell us how your proposed research and STAGE training will draw upon multiple disciplines. Specifically, describe how you will bring together approaches, insights, or techniques from your mentors or from key fields that feed into molecular epidemiology and statistical -omics. We encourage you to be as specific as possible—for example, will you be combining methods from public health, genetics, biostatistics, computational biology, or other areas?
  • Highlight how this interdisciplinary approach will enrich your research and contribute to your professional growth. If possible, share how collaborating across disciplines has influenced your perspective so far, and explain how these experiences will benefit your future career in science and research.
  • If there are unique opportunities, resources, or mentor expertise at STAGE that make your project particularly cross-disciplinary, please mention these as well.

3. PDF of up-to-date Canadian Common CV (CIHR Biosketch CV) or the newest Tri-agency CV.

  • Single PDF file.
  • To generate the required Biosketch CV you will need to register with the Common CV Network and request a CIHR PIN. PIN requests are processed during regular business hours (7:00 am to 5:00 pm) Monday to Friday. One working day is typically required to process PIN requests. However, longer processing times may be required during peak periods of operation. We strongly recommend if you are unfamiliar with the Canadian Common CV that you read the instructions posted here.

4. Letter from the Primary STAGE Mentor

  • A brief letter from the candidate's Primary STAGE Mentor supporting the candidate's application and agreeing to supervise and to work with the candidate on the proposed research project. A link will be emailed to the Primary Mentor from the on-line application portal.

5. Graduate and/or undergraduate transcripts, as required

Electronic copies for all transcripts are acceptable. Single PDF file.

  • PhD Students: Undergraduate and graduate transcripts.
  • Postdoctoral Fellows: Graduate transcripts.

6. Supplementary Information

Postdoctoral Fellows Only

  • Length: Up to one letter-size page. 2.54 cm (1 inch) margin around the page. 12-point Times New Roman, black font. Single-spaced. No condensed type or spacing. Single PDF file.
  • STAGE has a significant focus on quantitative skills, thus postdoctoral applicants from disciplines not listed in Section D of the Eligibility Table (see above), or whose research or scholarship deviates from the program’s Research Themes, must submit, as part of their application, a compelling description of their capabilities, substantiated by experience, and documented by examples of their work.

Upon receipt of the application, an acknowledgment of receipt will be emailed to the applicant.

Esther Berzunza, Program Manager, CANSSI Ontario
Email: esther.berzunza@utoronto.ca

Mentors by Discipline

1. Clinical, Genetic, Molecular Epidemiology, and Pharmacoepidemiology
Headshot of Marie-Pierre Dubé

Marie-Pierre Dubé

Professor, Department of Medicine, Faculty of Medicine, and Department of Social and Preventive Medicine, School of Public Health, University of Montreal
Research keywords: Genetic Epidemiology, Pharmacogenomics, Precision Medicine (biomarkers of drug response), Environmental precision medicine (interactions with extreme temperatures), Biostatistics, Pharmacoepidemiology, Bioinformatics
Headshot of Audrey Grant

Audrey Grant

Assistant Professor, Departments of Anesthesia & Human Genetics, Quantitative Life Sciences program, Faculty of Medicine and Health Sciences, McGill University
Research keywords: Genetic Epidemiology Study Design, Genome-wide Association (GWA) Studies and Post-GWA Studies, Genetic Architecture, Topic Modeling, Complex Traits, Polygenic Traits, Polygenic Risk Scores
Headshot of Marc-André Legault

Marc-André Legault

Assistant Professor, Faculty of Pharmacy, University of Montreal
Research keywords: Drug Targets, Mendelian Randomization, Multi-omics Machine Learning, Immune-mediated Inflammatory Diseases
Headshot of Brent Richards

Brent Richards

Senior Investigator, Lady Davis Institute for Medical Research Professor, Departments of Medicine (Endocrinology), Human Genetics, Epidemiology and Biostatistics, McGill University
Research keywords: Genome-wide Association Study, Genetic Determinants, Endocrinology, Mendelian Randomization -Omics, Polygenic Risk Scores
Headshot of Satoshi Yoshiji

Satoshi Yoshiji

Assistant Professor, Quantitative Life Sciences, Department of Human Genetics, McGill University
Research keywords: Forthcoming.
2. Quantitative Methods in Genetics and Genomics
Barry, Amadou

Amadou Barry

Assistant Professor, National Institute of Scientific Research (INRS)
Research keywords: statistical genomics, population genetics, multi-omics integration, machine learning and ai in genomics, imaging genetics (neuroimaging, radiogenomics), precision medicine / precision health, rare disease genomics, open-source statistical software development (r / python packages)
Bherer, Claude

Claude Bhérer

Assistant Professor, Department of Human Genetics, McGill University
Research keywords: Population Genetics, Statistical Genetics, Bioinformatics, Founder Effect, Rare Diseases
Bureau, Alexandre

Alexandre Bureau

Professor, Department of Social and Preventive Medicine, Laval University
Research keywords: Bioinformatics in Genomics, Correlated Data Modeling, Computational Statistics, Epidemiology Study Design, Familial Genetic Analysis, Predictive Models, Preventive Medicine, Psychiatric Disorders
Butler-Laporte, Guillaume_

Guillaume Butler-Laporte

Assistant Professor, Division of Infectious Diseases, McGill University Health Centre
Research keywords: Genome-wide association study, infectious diseases, immunity, Mendelian randomization, causal inference
Mcremonia, Marzia

Marzia Cremona

Associate Professor, Department of Operations and Decision Systems, Laval University
Research keywords: Statistical learning, Machine Learning, Data Science, Omics, Bioinformatics, Statistical Genomics, Computational Genomics
Droit, Arnaud

Arnaud Droit

Full Professor, Department of Molecular Medicine, Faculty of Medicine, Laval University
Research keywords: Genomics, OMICS, Data Science, Computational Biology, Artificial Intelligence
Dupuis, Josee

Josée Dupuis

Professor and Chair, Department of Epidemiology, Biostatistics and Occupational Health, McGill University
Research keywords: Biostatistics, Statistical Genetics, Gene-Environment Interactions, Multi-omics Integration
file.9427.512

Marie-Julie Favé

Associate Professor, Department of Biology, Concordia University
Research keywords: Computational Genomics, Complex trait analysis, Bioinformatics, Gene-Environment Interactions, Multi-omics Integration, Somatic Mutations, Evolutionary Biology
Taliun, Sarah Gagliano_

Sarah Gagliano Taliun

Associate Professor, Department of Medicine and Department of Neurosciences, Faculty of Medicine, University of Montreal
Research keywords: Computational Genetics, Genetic Analysis of Complex Traits, Bioinformatics 
Gravel, Simon

Simon Gravel

Assistant Professor, Department of Human Genetics, McGill University
Research keywords: Population genetics; statistical genetics; evolution; demography; mathematics
Headshot of Celia Greenwood

Celia Greenwood

Senior Investigator, Lady Davis Institute; Professor, Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University
Research keywords: Statistical genetics, statistical methods in epigenetics, genetic epidemiology, biostatistics
Lakhal-Chaieb, Lajmi

Lajmi Lakhal-Chaieb

Full Professor, Department of Mathematics and Statistics; Director of Master’s and Doctoral Programs; Scientific Director, Statistical Consulting Service, Faculty of Science and Engineering, Laval University
Research keywords: Multivariate survival analysis, genetic epidemiology, statistical genetics
Headshot of Marc-André Legault

Marc-André Legault

Assistant Professor, Faculty of Pharmacy, University of Montreal
Research keywords: Drug Targets, Mendelian Randomization, Multi-omics Machine Learning, Immune-mediated Inflammatory Diseases
Oualkacha, Karim

Karim Oulkacha

Professor, Department of Mathematics, University of Quebec in Montreal (UQAM)
Research keywords: Copulas, Data Reduction Techniques, Expectile/Quantile Regression, Generalized Linear Mixed Models, Heterogeneous Data, High-Dimensional Data Analysis, Multidimensional Statistics, Penalized Regression/Classification Methods, Quantitative trait loci, Family-based designs, Statistical Genetics (mapping), Epigenetic
Taliun, Daniel

Daniel Taliun

Assistant Professor, Department of Human Genetics, McGill University
Research keywords: forthcoming.
Zhang, Qihuang

Qihuang Zhang

Assistant Professor, Department of Epidemiology, Biostatistics and Occupational Health, McGill University
Research keywords: Spatial Transcriptomics, Single-Cell RNA Sequencing and Integration, Measurement Error Modeling, Interpretable Machine Learning, Statistical Genomics
Zhou, Sirui_square2

Sirui Zhou

Assistant Professor, Department of Human Genetics, McGill University
Research keywords: forthcoming.
3. Biomedical genetics
Headshot of Simon Girard

Simon Girard

Professor, University of Quebec at Chicoutimi (UQAC); Researcher, CERVO Research Center
Research keywords: Genealogy, founder effect, population structure, genomics, sequencing, haplotypes