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| Linglong Kong, Ph.D. |
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| Associate Professor |
| Canada Research Chair in Statistical Learning |
| Department of Mathematical and Statistical Sciences |
| University of Alberta |
| Edmonton, AB Canada T6G 2G1 |
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| Office: CAB 431 |
| Email: lkong-at-ualberta-dot-ca |
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| Education |
| 2009: PhD in Statistics, University of Alberta, Edmonton, Canada |
| 2002: MS in Statistics, Peking University, Beijing, China |
| 1999: BS in Probability and Statistics, Beijing Normal University, Beijing, China |
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| Research Interests |
| Functional and Neuroimaging Data Analysis: Varying coefficient model, Multiscale adaptive regression model, Imaging genetics, Connectivity Analysis, MRI, fMRI, and DTI data analysis |
| Statistical Machine Learning: Variable screening, Sparse learning, Ensemble Learning, Dimension reduction, Adaptive learning, Predictive Learning, Deep learning and Reinforcement learning |
| Robust Statistics and Quantile Regression: Multivariate, Functional, and Bayesian quantile regression, Depth-based methods, Robustness in neuroimaging data analysis, Robustness in machine learning |
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| Editorial Service |
| 2019 - present: Guest Editor, Canadian Journal of Statistics, special issues on "Neuroimaging Data Analysis" |
| 2019 - present: Associate Editor, Journal of the American Statistical Association, Applications & Case Studies |
| 2019 - present: Associate Editor, International Journal of Imaging Systems and Technology |
| 2017 - present: Associate Editor, Canadian Journal of Statistics |
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| Fundings and Grants |
| Current: |
| 2020 - 2021: A Principled Approach to Developing Machine Learning Models for the Synthesis of
Structured Health Data, MITACS, $135,000 (Co-PI, Co-PIs: Bei Jiang - U Alberta and Yan Liu - Concordia Univ.) |
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| 2020 - 2023: BIAS: Responsible AI for Labour Market Equality, Canada-UK Artificial Intelligence Initiative, $460,000 (PI; Co-PIs: Bei Jiang, Nicole Denier, Karen Hughes - U Alberta) |
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| 2020 - 2023: Distributional Reinforcement Learning: Theories and Applications, UAHIJIC, $202,500 (PI) |
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| 2020 - 2020: Statistical machine learning for urban transportation system, MITACS, $30,000 (PI) |
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| 2018 - 2023: Novel Statistical Methods in Functional and Brain Imaging Data Analysis, NSERC-RGPIN, $205,000 (PI) |
| Past: |
| 2019 - 2019: Augmented decision making capabilities for innovation management and continuous improvement by organizations, MITACS, $30,000 (PI) |
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| 2019 - 2019: Cognitive Dissonance in Financial Wellbeing: Using Statistical Machine Learning to Understand Perceived and Objective Financial Fitness, $36,000 (PI) |
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| 2019 - 2019: Feature selection for Deep Learning applied to the identification of impaired drivers, MITACS, $30,000 (PI) |
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| 2018 - 2019: Anomaly detection and simulation for unlabeled sensor data, MITACS, $45,000 (PI) |
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| 2018 - 2018: Robust estimation of treatment effects in high-dimensional
heterogenous data with application to e-commerce, NSERC ENGAGE, $25,000 (PI) |
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| 2017 - 2019: Genome-wide diet-gene interaction analysis for risk of psychiatric comorbidity in inflammatory bowel disease, WCUC
Collaborative Project Seed Funding, $20,000 (Co-PI, PI: Pingzhao Hu - U Manitoba) |
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| 2017 - 2018: Statistical Machine Learning Framework in Retention and Attrition Modelling, MITACS, $30,000 (PI) |
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| 2017 - 2017: Statistical machine learning applied to screening drivers with cognitive impairment, NSERC ENGAGE, $25,000 (PI) |
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| 2017 - 2017: New statistical machine learning methods applied to high dimensional sensory input data from chemistry, MITACS, $30,000 (PI) |
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| 2016 - 2019: Joint Analysis of Neuroimaging Data: High-dimensional Problems, Spatio-Temporal Models and Computation, CANSSI-CRT, $180,000 (Co-PI, Co-PI: Farouk Nathoo - U Victoria) |
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| 2016 - 2018: Using statistical methods to study the relationships between fat and weight changes during pregnancy and early postpartum, WCHRI, $50,000 (Co-PI, PI: Yan Yuan - U Alberta) |
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| 2015 - 2018: Analyzing real estate transaction and pricing data via statistical machine learning, NSERC- CRDPJ, $270,000 (Co-PI, PI: Di Niu - U Alberta) |
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| 2013 - 2018: Quantile Regression in Brain Imaging Data Analysis, NSERC-RGPIN, $75,000 (PI) |
| 2012 - 2015: Start-up Funds, University of Alberta, $50,000 (PI) |
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| Honors and Awards |
| 2018: Great Supervisor Award, University of Alberta |
| 2017: Josephine Mitchell Mentoring Award, University of Alberta |
| 2015: Research Fellow, SAMSI |
| 2014: IMS New Researchers Conference Travel Award, IMS |
| 2014: New Research Fellow, SAMSI |
| 2013: IMS New Researchers Conference Travel Award, IMS |
| 2013: SAMSI Neuroimaging Data Analysis Workshop Travel Award, SAMSI |
| 2013: Discovery Grant of Early Career Researcher (ECR) Supplement, NSERC |
| 2013: ENAR Workshop for Junior Researchers Travel Award, ENAR |
| 2012: Developing Statistical Methods for NeuroImaging Workshop Scholarship, NSF, USA |
| 2008: Student Travel Award, Statistical Society of Canada |
| 2007: The Best Consultant of the Year 2007, University of Alberta |
| 2007: Mary Louise Imrie Graduate Student Award, University of Alberta |
| 2005: Josephine Mitchell Scholarship, University of Alberta |
| 2004: Provost Doctoral Entrance Award, University of Alberta |
| 2004: Eoin L. Whitney Scholarship, University of Alberta |
| 2003: Pundit RD Sharma Memorial Graduate Student Award, University of Alberta |
| 2000: GangSong Graduate Student Scholarship, Peking University |
| 1998: Second Rank Major Scholarship, Beijing Normal University |
| 1997: Third Rank Major Scholarship, Beijing Normal University |
| 1996: Second Rank Major Scholarship, Beijing Normal University |
| 1994: Second Rank in National High School Mathematical Olympics Contest in China |
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