Jeganathan Lab studies multi-view learning through the lens of dependence modeling, developing latent variable and spatio-temporal methods for complex dependent data. Our work combines statistical theory, scalable computation, and machine learning to build interpretable, reproducible, and well-validated tools, with applications in spatial omics, longitudinal microbiome data, transportation sensors and GPS data, and loss reserving using multiple loss triangles.

News

Date Updates
06/28 - 07/03, 2026 Pratheepa co-organizes a BIRS Workshop on Emerging Challenges in Statistical Modeling for Transportation Research, The Banff Centre, Canada
05/31 - 06/03, 2026 Pratheepa will present (invited session in actuarial science) at the 2026 Statistical Society of Canada Annual Meeting, McMaster University, Canada
03/17/2026 Pratheepa will present at the University of Waterloo, Statistics and Biostatistics Seminar
10/2025 Pratheepa presented at the Statistics Colloquium, Department of Statistical Sciences, University of Toronto
09/2025 Pengfei defended his PhD thesis - congrats Frank!
08/2025 Submitted paper - Sparse Seemingly Unrelated Regression (SSUR) Copula Mixed Models for Multivariate Loss Reserving
08/2025 Pratheepa presented at the 14th High Dimensional Data Analysis Workshop, Central Michigan University Biological Station, Beaver Island, USA
07/2025 Frank presented at the Actuarial Research Conference, Society of Actuaries, York University, Canada
06/2025 Submitted paper - A Robust Nonparametric Framework for Detecting Repeated Spatial Patterns
06/2025 Submitted paper - Scalable Spatiotemporal Modeling for Bicycle Count Prediction
06/2025 Rajitha presented at the International Conference on Statistics and Data Science, Vancouver, BC, Canada
05/2025 Pratheepa presented at the Statistical Society of Canada, Annual Meeting, University of Saskatchewan, Canada
05/2025 Pratheepa presented at the Department Colloquium, Department of Statistical and Actuarial Sciences, Western University
01/2025 Pratheepa presented at the Scientific Seminar, Department of Decision Science, HEC Montreal
12/2024 Rajitha defended his Master’s thesis - congrats Rajitha!
06/2024 Ishanka Fernando presented at the SSC 2024 Annual Meeting
05/2024 Pratheepa presented at the CANSSI Ontario Research Day
04/2024 Xinyue Cui and Kevin Chen presented their senior research projects - congrats Xinyue and Kevin!
03/2024 Pratheepa presented at Dalhousie University, Department of Mathematics and Statistics, Seminar
02/2024 Pratheepa presented at the University of Guelph, Department of Mathematics and Statistics, Seminar
01/2024 Ishanka Fernando defended her Master’s thesis - congrats Ishanka!

Team Members

Postdocs

Name Role Project
To be recruited in 2026/2027 Generative models for repeated spatial patterns

PhD Students

Name Role Project
To be recruited for 2026/2027 Generative models for repeated spatial patterns/transfer function methods for dynamic factor models/estimating equations-based inference

Master’s Students

Name Role Project
Simranjeet Bilkhu (09/2024-02/2026) M.Sc. in Statistics Dynamic factor models
Gus Vietze (09/2025 - 12/2026) M.Sc. in Statistics Transportation problems
Kaiming Zhang (09/2025 - 12/2026) M.Sc. in Statistics (co-supervision with Dr. Anas Abdallah) Loss reserving and risk captial analysis
Amanpreet Singh (09/2025 - 08/2027) M.Sc. in Computational Science and Engineering Computational methods for spatial repeated patterns

Undergraduate students

Name Role Project
To be recruited for 2026/2027 Project to be discussed

Prospective students

Undergraduate Research Students

  • Spring/Summer: Apply for the NSERC USRA or Stewart Award (not recruiting in 2026).
  • Fall/Winter: Participate in a senior research project in statistics (to be recruited for 2026/2027).

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

Postdocs

Name Role Placement
Rishikesh Yadev CANSSI CRT Postdoctoral Fellow (2023-2024); co-supervised with Drs. Alex Schmidt (McGill), Aurélie Labbe (HEC), Luis Miranda-Moreno (McGill) Assistant Professor, Indian Institute of Technology, (IIT) Mandi, India

PhD Students

Name Role Placement
Pengfei Cai (09/2021 - 08/2025) Ph.D. in Statistics (co-supervised with Dr. Anas Abdallah) Scotiabank Canada

MSc Students

Name Role Placement
Rajitha Senanayake (09/2023-12/2024) M.Sc. Statistics Data Scientist, TD Bank
Ishanka Fernando (09/2022-01/2024) M.Sc. Statistics Statistician, Offord Centre for Child Studies

Undergraduate Thesis Students

Name Role Placemnet
Xinyue Cui Senior Research Project (2023/2024) Reading M.Sc. in Statistics, McGill University
Kevin Chen Senior Research Project (2023/2024) Reading M.Sc. in Biostatistics, University of Toronto
Hainan Xu Senior Research Project (2022/2023) Reading M.Sc. in Statistics, University of Toronto
Undergraduate summer research (05/2022 - 07/2023), James Stewart Research Support Award
Shiheng Huang Senior Research Project (2022/2023) Reading M.Sc. in Biostatistics, University of Toronto
Gheeda Mourtada (05/2021 - 08/2021) NSERC USRA Developer, Data Science, Bell

Undergraduate Research Assistants

Name Role Placemnet
Noah Ripstein (09/2024-04/2025) Research Assistant Reading Ph.D. in Statistics, University of Toronto
Mithun Manivannan (01/2025-04/2025) Research Assistant Reading M.Sc. in Biostatistics, Carleton University
Taylor Uylett-Kerrigan (01/2025-04/2025) Research Assistant Reading M.Sc. in Data Science, University of Guelph
Keyu Hong (05/2023-12/2024) Research Assistant (co-supervised with Drs. Caroline Junkins and Sharonna Greenberg) Reading M.Sc. in Data Science, NYU
Rashmi Panse (09/2022-04/2023) Research Assistant (co-supervised with Drs.Caroline Junkins and Sharonna Greenberg) Reading M.Sc. in Data Science, University of San Francisco
Mariana Mariles Torres (09/2021 - 04/2022) Undergraduate Research Assistant Data Scientist, Canadian Tire Financial Services
Ka Yat Liu (05/2021 - 08/2021) James Stewart Research Award Reading MDSAI Program, University of Waterloo (Vector Scholarship recipient)