Ontario Genomics-CANSSI Ontario Postdoctoral Fellowship in Genome Data Science – Award Recipient: Roux-cil Ferreira

Dr. Roux-Cil Ferreira, recipient of Ontario Genomics-CANSSI Ontario Postdoctoral Fellowship in Genome Data Science.

Ontario Genomics and CANSSI Ontario are pleased to announce Dr. Roux-Cil Ferreira as the recipient of one of three Ontario Genomics-CANSSI Ontario Postdoctoral Fellowships in Genome Data Science.

Roux-Cil Ferreira is a Postdoctoral Associate in Pathology and Laboratory Medicine at Western University, where she works under the supervision of Drs. Art Poon and Jessica Prodger. Roux-Cil’s research interest is in the statistical analysis of viral genomic data. Her research and writing has mainly focused on the analysis of HIV-1 data. She is currently working on analyzing the latent HIV-1 viral reservoir that represents a key barrier to a HIV cure. During her time at Western University she has written and published two peer-reviewed articles. Firstly a perspective article that is a reassessment of the field of HIV latent viral reservoir research from the point of view of statistical modelling and phylogenetics. Secondly, a resource paper detailing the development of the Poon lab’s web-based framework that rapidly analyses and visualizes the global diversity of SARS-CoV-2 genomes.

Prior to joining Western University, she was a Consultant at the Fred Hutchinson Cancer Research Center. While there she helped validate models that improved estimates of time since HIV-1 infection, which are important in the context of vaccine development. She also assisted as co-author when this research was published in a peer-reviewed journal.

Roux-Cil received her PhD in Bioinformatics from the University of the Western Cape (Cape Town, South Africa). Her thesis and related published articles focused on quantifying the variations between the 3-dimensional structures of distinct HIV-1 surface proteins. Before her Ph.D., she completed her master’s degree in Mathematical Statistics at Stellenbosch University (Stellenbosch, South Africa) and a Bachelors as well as an Honors degree in Actuarial Science at the University of the Free State (Bloemfontein, South Africa).

Dr. Ferreira received the Fellowship in Genome Data Science for project: Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir.


The Ontario Genomics-CANSSI Ontario Postdoctoral Fellowship in Genome Data Science was created to support research projects that deepen our understanding of genomic epidemiology of infectious disease, using genomics for pathogen surveillance or host-virus genetic interaction by providing salary support for up to two years for an early career investigator pursuing research in the areas of statistical genetics or genetic epidemiology.

Established in 2000, Ontario Genomics is a not-for-profit organization leading the application of genomics-based solutions to drive economic growth, improved quality of life, and global leadership for Ontario. As part of its strategic vision, Ontario Genomics (OG) is dedicated to supporting the development of educational resources that demonstrate how genomics plays a vital role to address key challenges in our society. Ontario Genomics also plays a role in advancing genomics projects and programs across the province by supporting the development of proposals, helping researchers access diverse funding sources, and finding the right industry partners to take this research out of the lab to apply it to the world’s most pressing challenges. Since its inception, Ontario Genomics has raised more than $1.27 billion for genomics applied research in Ontario and directly supported more than 9,100 trainees and jobs. OG supports 110+ active projects, 500+ impactful partnerships and has secured $1.34 billion in follow-on investments.

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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