Grace Y. Yi
Professor Canada Research Chair in Data Science (Tier 1)
Department of Statistical and Actuarial Sciences
Department of Computer Science
University of Western Ontario
Email: gyi5-at-uwo-dot-ca
Grace Y. Yi
Professor
Canada Research Chair in Data Science (Tier 1)
Department of Statistical and Actuarial Sciences
Department of Computer Science
University of Western Ontario
Email: gyi5-at-uwo-dot-ca
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2023 Award for Excellence in Graduate Student Mentoring
Faculty of Science, University of Western Ontario
2020 Fellow of the Institute of Mathematical Statistics (IMS)
2019 Canada Research Chair
The Government of Canada
(The Canada Research Chairs program was established in 2000 as a part of the Government of Canada
wanting to promote research and development excellence in Canadian post-secondary educational institutions)
2015 Fellow of the American Statistical Association (ASA)
2013 Elected Member of the International Statistical Institute (ISI)
2013 Outstanding Performance Award
University of Waterloo
2011-2018 University Research Chair
University of Waterloo
(The University Research Chair was established to recognize exceptional achievement
and preeminence in a particular field of knowledge)
2010 CRM-SSC Award
Centre de Recherches Mathematique & Statistical Society of Canada
(An award in recognition of a statistical scientist's professional
accomplishments in research during the first fifteen years after
having received a doctorate; each year one recipient is selected))
2010 Outstanding Performance Award
University of Waterloo
2007 - 2009 University Faculty Award
Natural Sciences and Engineering Research Council of Canada
2004 - 2007 University Faculty Award
Natural Sciences and Engineering Research Council of Canada
2022 Top Cited Article 2021-2022 for Biometrics,
Chen, L.-P.* and Yi, G. Y. (2021). Analysis of noisy survival
data with graphical proportional hazards measurement error models
2022 Co-authored a paper with my student which received a Junior Research Award,
The International Chinese Statistical Association 2022 China Conference
Hu, P.* and Yi, G. Y. (2022). Understanding the Impact of Mismeasured Output
on Causal Learning.
2019 - present Vector Institute Affiliate
2016 The Canadian Journal of Statistics Award,
The Statistical Society of Canada.
Yi, G. Y., Tan, X. and Li, R. (2015). Variable selection and
inference procedures for marginal analysis of longitudinal data
with missing observations and covariate measurement error
2008 Co-authored a paper with my student which received a Distinguished Student Paper Award,
International Biometric Society Eastern North American Region (ENAR).
Chen, B.*, Yi, G. Y. and Cook, R. (2008). Likelihood Analysis of
Joint Marginal and Conditional Models for Longitudinal Categorical Data
* marks the trainee
Department of Computer Science, Department of Statistical and Actuarial Sciences
Western University, 1151 Richmond St, London, Ontario, Canada N6A 3K7