Our research team addresses critical challenges in modern datasets and multi-view learning, with a strong emphasis on developing innovative methodologies motivated by real-world applications in microbiome multi-omics, spatial multi-omics, spatio-temporal sensor data, and loss reserving using multiple loss triangles.

News

Date Updates
July 7-8, 2024 Pratheepa co-organizes a session on the Information Technology - Cybersecurity, Data Science and E-Learning TASME conference
June 3, 2024 Ishanka Fernando presents at the SSC 2024 Annual Meeting
May 22, 2024 Pratheepa Jeganathan presents at the CANSSI Ontario Research Day
April 5, 2024 Xinyue Cui and Kevin Chen present their senior research projects
May 22, 2024 Pratheepa Jeganathan presents at the CANSSI Ontario Research Day
March 7, 2024 Pratheepa Jeganathan presents at Dalhousie University, Department of Mathematics and Statistics, Seminar
February 6, 2024 Pratheepa Jeganathan presents at the University of Guelph, Department of Mathematics and Statistics, Seminar
January 18, 2024 Ishanka Fernando’s master thesis defence

Team Members

Postdocs

Name Role Research Note
Rishikesh Yadev CANSSI CRT Postdoctoral Fellow (08/2023- 08/2024) Bike usage design based on sensor data Co-supervision with Drs. Alex Schmidt (McGill) and Aurelie Labbe (HEC Montreal)

Graduate Students

Name Role Research Note
Rajitha Senanayake Master’s student in statistics Partial dependence for spatial clustering: application to spatial omics 09/2023 - 12/2024
Inwook Back Ph.D. student in statistics Replicated spatial point pattern analysis: application to spatial omics 09/2022 - 08/2026
Pengfei Cai Ph.D. candidate in statistics Predictive distribution of loss reserving based on multiple loss triangles Co-supervision with Dr. Anas Abdallah, 09/2021- 08/2025

Undergraduate students

Name Role Research Note
2024/2025

Prospective students

Undergraduate Research Students

  • Spring/Summer: Apply for the NSERC USRA or Stewart Award.
  • Fall/Winter: Participate in a senior research project in statistics.

Graduate Students

  • Masters and PhD (Statistics, Computational Science and Engineering): Apply for positions starting in the Fall.

Postdoctoral Researchers

For more details on when and how to apply, please visit our Join Us page.

Alumni

Graduate Students

Name Role Research After Graduation
Ishanka Fernando M.Sc. Statistics (2023-2024) Time-Aligned Latent Dirichlet Allocation: Application to Longitudinal Microbiome Data Statistical Analyst, McMaster University Health Sciences

Undergraduate research/thesis students

Name Role Research After Graduation
Xinyue Cui Senior Research Project (2023/2024) Statistical Methods for the Tissue Microenvironment of Multiplex Images in a Clinical-relevant Manner Master’s statistics (McGill)
Kevin Chen Senior Research Project (2023/2024) Extending Microbiome Intervention Analysis with Transfer Functions Using Tree-Based Boosting Master’s biostatistics (University of Toronto)
Keyu Hong Research Assistant (05/2023-12/2024), Co-supervision with Caroline Junkins, Sharonna Greenberg Machine-Assisted Methods for Interpreting Students Evaluation of Teaching Continuing BSc. at McMaster University
Hainan Xu Senior Research Project (2022/2023) Hierarchical Mixture Models for Microbiome Data Master’s biostatistics (University of Toronto)
Undergraduate summer research (05/2022 - 07/2023), James Stewart Research Support Award Statistical Methods for Exploring the Arrangement of Myelin Basic Protein in Human Visual Cortex
Shiheng Huang Senior Research Project (2022/2023) Probabilistic Topic Models and Feature Learning to Characterize Tissue Microenvironment in Multiplex Ion- Beam Imaging Data Continuing co-op at RBC
Rashmi Panse Research Assistant - (09/2022-04/2023), Co-supervision with Drs. Caroline Junkins, Sharonna Greenberg, Amanda Ferguson Machine-Assisted Methods for Interpreting Students Evaluation of Teaching Master’s Data Science(University of San Francisco)
Mariana Mariles Torres Undergraduate Research Assistant (09/2021 - 04/2022) Monte Carlo experiments for generative models with goodness-of-fit measures: application to microbiome data Canadian Tire Financial Services - Data Scientist
Ka Yat Liu Undergraduate summer research (05/2021 - 08/2021), James Stewart Research Support Award Statistical methods for microbiome data analysis, https://github.com/kaidenliu0806/summer_research MDSAI (University of Waterloo)
Gheeda Mourtada NSERC USRA (05/2021 - 08/2021) Spatial point pattern summaries for spatial count matrix: application to spatial proteomics data Bell, Developer, Data Science