Supervision

Current PhD Students

• David Fleischer, Statistics PhD, McGill University (joint with David Stephens)

• Ziang Gao, Statistics PhD, McGill University (joint with Masoud Asgharian)

• Yixuan Li, Statistics PhD, McGill University (joint with Ariane Marelli and Yue Li)

• Weihua Shi, Statistics PhD, McGill University (joint with Yue Zhao)

• Mingqi Wu, Statistics PhD, McGill University (joint with Qiang Sun)

Current Postdoctoral Fellows

• Chi-Kuang Yeh, CANSSI distinguish postdoctoral fellow, McGill University (joint with Peijun Sang, Qihuang Zhang and Celia Greenwood)

• Kunpeng Xu, postdoctoral fellow, McGill University (joint with Yue Li)

Current Masters Students

• Daniel Bensimon, Statistics Masters, McGill University (joint with Eric Kolacyzk)

• Tiankang Lu, Biostatistics Masters, McGill University (joint with Qihuang Zhang)

• Qiushi Meng, Computer Science Masters, McGill University (joint with Yue Li)

• Francois Rocheleau, Statistics Masters, McGill University (joint with Christian Genest)

• Jack Song, Computer Science Masters, McGill University (joint with Yue Li)

Past PhD Students

• Peng Tang (2024)
  Statistics PhD, McGill University (joint with Abbas Khalili)
  

  • Dissertation: New regularization methods for order estimation in finite mixture models
    

  • Joint Postdoctoral Scholar, Telfer School of Management & Heart Institute, University of Ottawa

• Yixiao Zeng (2024)
  Quantitative Life Science PhD, McGill University (joint with Celia Greenwood)
  

  • Dissertation: Two Advancements in Statistical Learning Methods
    

• Shomoita Alam (2023)
  Statistics PhD, McGill University (joint with David Stephens)
  

  • Dissertation: High-dimensional graphical models for noisy data
    

  • Postdoctoral Fellow, Biostatistics, Bioinformatics and Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center

• Mohamed Ouhourane (2022)
  Statistics PhD, University of Quebec in Montreal (joint with Karim Oualkacha)
  

  • Dissertation: High-dimensional asymmetric quantile and expectile regression and variable group selection

  • Desjardins

• Yi Lian (2022)
  Biostatistics PhD, McGill University (joint with Robert Platt)
  

  • Dissertation: Some new computational methods in high-dimensional statistical learning in biostatistics
    

  • Postdoctoral Fellow, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania

• Lamin Juwara (2022)
  Quantitative Life Science PhD, McGill University (joint with Paramita Saha Chaudhuri and Ana Miriam Velly)
  

  • Dissertation: Privacy-preserving regression methods for distributed biomedical data
    

  • Postdoctoral Fellow, Electronic Health Information Laboratory, The Ottawa Hospital

• Sahir Bhatnagar (2018)
  Biostatistics PhD, McGill University (joint with Celia Greenwood)
  

  • Dissertation: Penalized regression methods for interaction and mixed-effects models with applications to genomic and brain imaging data
    

  • Assistant Professor, Department of Epidemiology, Biostatistics and Occupational Health, Department of Diagnostic Radiology, McGill University

Past Masters Students

• Peter Park (2021)
  Statistics Masters, McGill University (joint with Xiangfei Meng)
  Federal Government of Canada

• Xiaonan Da (2021)
  Statistics Masters, McGill University (joint with Abbas Khalili)
  Statistics Canada

• David Fleischer (2020)
  Statistics Masters, McGill University (joint with David Stephens)
  Statistics PhD student, McGill University

• Yasmine Bouguerche (2020)
  Statistics Masters, McGill University
  Desjardins

• Annik Gougeon (2019)
  Statistics Masters, McGill University (joint with Abbas Khalili)
  Statistics Canada

Past Undergraduate Trainees

• Tian Bai (2025)
  Honours Mathematics and Computer science. McGill University
  SURA: Science Undergraduate Research Awards
  Research Manuscript: (a) Conformal selection for efficient and accurate compound screening in drug discovery. (b) Multivariate conformal selection.
  Statistics PhD program, Stanford University

• Ziqi Ye (2024)
  BSc. in Mathematics. McGill University
  Master of Advanced Study program, University of Cambridge

• Yuying Lu (2024)
  BSc. in Mathematics and Applied Mathematics (Wu Wenjun Program). Shanghai Jiao Tong University
  Mitacs Globalink Research Internship
  Biostatistics PhD program, Columbia University

• Yining Fan (2022)
  BSc. in Statistics and Computer Science. McGill University
  Research Manuscript: Transitions between heart failure states in adult patients with congenital heart disease.
  Master of Statistical Science program, University of Oxford

• Qiyu (Kally) Wang (2022)
  BSc. in Honours Computer Science and Biology. McGill University
  Research Manuscript: Transitions between heart failure states in adult patients with congenital heart disease.
  Statistics Masters program, University of California, Berkeley

• Andrew Cheng (2020)
  BSc. in Statistics and Computer Science. McGill University
  SURA: Science Undergraduate Research Awards
  Computer Science PhD program, Harvard University

• Ziang Niu (2020)
  BSc. in Statistics. Renmin University
  Visiting Undergraduate Research Trainee.
  Statistics PhD program, University of Pennsylvania

• Yixuan Li (2020)
  BSc. in Statistics. Nankai University
  Visiting Undergraduate Research Trainee.
  Statistics PhD program, McGill University

• Simon Fontaine (2020)
  BSc. in Honours Statistics. McGill University
  SURA: Science Undergraduate Research Awards
  Published Research: A unified approach to sparse tweedie modeling of multi-source insurance claim data. Technometrics
  Statistics PhD program, University of Michigan

• Mohan Zhao (2020)
  BSc. in Mathematics. McGill University
  Published Research: Evaluating distributed policies for conjunctive surface water-groundwater management in large river basins: Water uses versus hydrological impacts. Water Resources Research
  Computer Science PhD program, University of Toronto

• He Zhou (2018)
  BSc. in Statistics. Fudan University
  Visiting Undergraduate Research Trainee
  Published Research: Tweedie gradient boosting for extremely unbalanced zero-inflated data. Communications in Statistics - Simulation and Computation
  Statistics PhD program, University of Minnesota