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

Education
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
2020 - 2021: A Principled Approach to Developing Machine Learning Models for the Synthesis of Structured Health Data, MITACS Accelerate, Co-PIs: Bei Jiang (33%), Linglong Kong (UA) (33%), and Adam Kashlak (UA) (33%), $135,000 (total)
2020 - 2021: Using machine learning methods to predict truck productivity in oil sands mining. University of Alberta Pilot Seed Grant, PI: Wei Liu (50%), co-PI: Bei Jiang (50%), $30,000 in total.
2020 - 2023: BIAS: Responsible AI for Labour Market Equality, Canada-UK Artificial Intelligence Initiative, PI: Linglong Kong (45%), Co-PIs: Bei Jiang (25%), Nicole Denier (15%), Karen Hughes (15%), $460,000 in total.
2020 - 2024: Statistical Machine Learning Methods Applied to ATB Data for Debt Collection Optimization, Small Business Lending Decision Modelling, and Open Banking Initiatives, MITACS, PI: Bei Jiang $220,000.
2018 - 2019: Statistical Machine Learning Methods Applied to ATB Data for Credit Risk Modelling, MITACS, PI: Bei Jiang $40,000.
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: Bei Jiang)
2015 - 2018: Start-up Funds, University of Alberta, $50,000 (total)