University of Alberta Department of Mathematical and Statistical Sciences
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Bei Jiang, Ph.D.
Assistant Professor
Department of Mathematical and Statistical Sciences
University of Alberta
Edmonton, AB Canada T6G 2G1
Office: CAB 435
Email: bei1-at-ualberta-dot-ca

2014: PhD in Biostatistics, University of Michigan, Ann Arbor, MI
2008: MS in Biostatistics, University of Alberta, Edmonton, AB
2004: BS in Information and Computing Science, Beijing University of Technology (BJUT), Beijing, China

Research Interests
Methods for Joint Modeling of Longitudinal and Health Outcome Data, Bayesian Hierarchical Modeling, Mixture Modeling
Functional and Imaging Data Analysis, Kernel Machine Regression/Classification, Bayesian Support Vector Machine

Honors and Awards
2015: New Research Fellow, SAMSI
University of Michigan, Ann Arbor, MI, USA
2013: Rackham Conference Travel Award
2013: National Institute of Statistical Sciences Affiliate Award
2012: Rackham Conference Travel Award
2009-2012: Alexander Graham Bell Canada Graduate Scholarship, NSERC
University of Alberta, Edmonton, Alberta, Canada
2008: J Gordin Kaplan Graduate Student Award
2008: Statistical Society of Canada Travel Award
2008: The Best Consultant of the Year 2008
2008: Graduate Student Scholarship by Alberta Advanced Education and Technology
Beijing University of Technology, Beijing, China
2005: Excellent Graduate Student Scholarship
2004: Outstanding Graduate by Beijing Municipal Commission of Education
2004: Outstanding Bachelor Dissertation Scholarship
2001: Excellent Student Leader Scholarship
2001-2003: Excellent Student Scholarship

Fundings and Grants
2016 - 2021: New statistical methods for functional and array-valued brain imaging data: joint modelling and statistical machine learning perspectives, NSERC-RGPIN, $100,000 (total, PI)
2015 - 2018: Start-up Funds, University of Alberta, $50,000 (total)