Scholar
Bei Jiang
Google Scholar ID: MfOZ8G0AAAAJ
Associate Professor of Statistics, Canada CIFAR AI Chair, University of Alberta
Citations & Impact
Citations
1,421
H-index
18
i10-index
30
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- 2015: New Research Fellow, SAMSI
- 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
- 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
- 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
- 2023 - 2024: Achieving Fairness in AI with Synthetic Data, Amii RAP, PI: Bei Jiang, $77,000 (total)
- 2023 - 2024: Gaussian Differential Privacy Over Riemannian Manifold, Amii RAP, PI: Bei Jiang, $77,000 (total)
- 2022 - 2027: Novel Analytics and Privacy Tools for Heterogeneous Health Data, Canada CIFAR AI Chairs Program, PI: Bei Jiang, $375,000 (total)
- 2023 - 2024: Novel Statistical Integration Methods for Multi-View Data, NSERC Alliance - Alberta Innovates Advance Program, PI: Bei Jiang, $36,000 (total)
- 2022 - 2025: Develop Geospatial Artificial Intelligence Geodatabases and Cloud Platforms for Automating Manual Observation Associated with Wheat Production, MITACS Accelerate, Co-PIs: Bei Jiang and Joy Agnew (Olds College), $480,000 (total)
- 2022 - 2025: Synthetic Data and Risk Measures for Statistical Disclosure Control, Canadian Statistical Sciences Institute, Collaborative Research Team Grant, Co-PIs: Bei Jiang (50%), Sophie Charest, Universite Laval (50%), $210,000 (total)
- 2022 - 2025: Using Machine Learning Methods to Predict Truck Productivity in Oil Sands Mining, NSERC Alliance Grant, PI: Wei Liu, UA (50%), Co-PI: Bei Jiang (50%), $375,000 (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 (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 Accelerate, PI: Bei Jiang, $220,000 (total)
- 2021 - 2023: Designing Appropriate Credit Risk Model for Big Data via Cloud Computing, MITACS Accelerate, PI: Bei Jiang, $45,000 (total)
- 2021 - 2023: Organizational Life Cycle Modelling: Assessing and Aligning Financial Institution Resources and Methodology, MITACS Accelerate, PI: Bei Jiang, $15,000 (total)
- 2016 - 2022: New statistical methods for functional and array-valued brain imaging data: joint modelling and statistical machine learning perspectives, NSERC Discovery Grant, PI: Bei Jiang, $20,000/year, $120,000 (total)
Research Experience
- Associate Professor, Department of Mathematical and Statistical Sciences, University of Alberta; Canada CIFAR AI Chair, Fellow, Alberta Machine Intelligence Institute (Amii).
Background
- 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.
Co-authors