CANSSI Ontario Announce 2025 Recipients of Postdoctoral Fellowships in Genome Data Science
Alina Rizwan
June 4, 2025
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CANSSI Ontario Announce 2025 Recipients of Postdoctoral Fellowships in Genome Data Science
TORONTO, ON. — CANSSI Ontario has awarded two fellowships for early-career scientists to pursue work in the areas of genomics and data science with an emphasis on new genomic technologies or multi-omic integration.
The CANSSI Ontario Postdoctoral Fellowship in Genomic Data Science was established in 2024 to support projects in the areas of new genomic technologies or multi-omic integration.
We are delighted to congratulate the recipients of this Fellowship:
- Dr. Jorge Alexander Rojas Vargas, Departments of Biology and Microbiology & Immunology, Western University, Supervisors: Drs. Art Poon, Jessica Prodger and, Vera Tai.
Project: Unveiling Microbial Dark Matter: A Novel Embedding Approach for Metagenome Analysis - Dr. Yixiao Zeng, Department of Molecular Genetics, University of Toronto
Supervisors: Drs. Gary Bader, Charles Boone, and Michael Wainberg
Project: Next-Gen Scalable Linear Mixed Models for Enhanced GWAS at Biobank Scale
Drs. Rojas Vargas and Zeng, are profiled, along with information about their background, research, and proposed research projects here: Rojas Vargas | Zeng
CANSSI Ontario is proud to help build research capacity in data science and genomics in Ontario.
About
The CANSSI Ontario Postdoctoral Fellowship in Genome Data Science is designed to support the methodological work of an early-career investigator working in genomics and data science with an emphasis on new genomic technologies or multi-omic integration. The goal of the award is to attract and retain top-tier postdoctoral talent, both nationally and internationally.
The Fellowship offers two-year salary support for up to $50,000 CAD annually for postdoctoral fellows undertaking full-time research at a CANSSI Ontario partner university or their affiliated research institutes.
Candidates are responsible for selecting, contacting, and securing the commitment of two faculty members to jointly supervise them in their project, where at least one is a faculty member with a PhD in statistics, biostatistics, epidemiology, computational biology, genomics, or computer science. The second supervisor can be from any other field.
CANSSI Ontario is the Ontario Regional Centre of the Canadian Statistical Sciences Institute (CANSSI). Its goal is to strengthen and enhance research and training in data science by developing programs that promote interdisciplinary research and enable multidisciplinary collaborations.
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