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Beiwen Wu recipient of CANSSI Ontario STAGE Trainee Program.
CANSSI Ontario STAGE are pleased to announce Beiwen Wu as the recipient of one of four CANSSI Ontario STAGE Trainees.
Beiwen is a PhD student in Epidemiology at Dalla Lana School of Public Health at University of Toronto under the supervision of Rayjean Hung, Celia Greenwood, and Geoffrey Liu and a Doctoral Fellow at the Lunenfeld-Tanenbaum Research.
Her research focuses on lipidomics in cancer risk and prognosis of aerodigestive tract cancers by evidence triangulation using longitudinal cohorts and genetic instruments. Beiwen has also published research on the topics of epidemiology, nutrition, cancer, and genetics. Prior to her doctoral studies, Beiwen received her Master of Science in Public Health in Human Nutrition from Johns Hopkins University.
Beiwen received this year’s award for the project: Comprehensive investigation of lipidomics in the risk and prognosis of aerodigestive tract (ADT) cancers by evidence triangulation.
The goal of her project is to improve the understanding of lipids in cancer risk and prognosis, identify novel predictive and prognostic lipid-related biomarkers, generate risk prediction models that may be jointly used with clinical evaluations, and design possible intervention strategies.
CANSSI Ontario STAGE (Strategic Training for Advanced Genetic Epidemiology) is a formal and comprehensive training program in Genetic Epidemiology and Statistical Genetics, the first of its kind in Canada and one of few in the world.
The program offers training and career development opportunities designed to cross-train individuals at the interface of genetics and population health sciences in genetic epidemiology and statistical genetics—two disciplines currently facing a massive shortage of qualified individuals in Canada and elsewhere.
The overall goal is to improve prevention and management of complex diseases by increasing capacity in genetic epidemiology and statistical genetics research.
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.