The Campbell Lab is a group of data scientists working at the interface of statistics, machine learning, and translational biomedicine. We are based in Toronto's Discovery District at the Lunenfeld-Tanenbaum Research Institute of Sinai Health System and the Departments of Molecular Genetics and Statistical Sciences at the University of Toronto.
We have a number of research focusses including:
- Computational modelling of single-cell and spatially resolved ‘omics data
- Understanding the composition and dynamics of the tumour microenvironment and how it enables tumour progression
- Machine learning algorithms to help automate biological and biomedical data analysis
Feb 3, 2024
New paper on active and self-supervised learning for single-cell expression data
Congratulations to Michael and Sean whose work understanding the impact of active and self-supervised learning on efficient annotation of single-cell expression data has been published in Nature Communications.
Jan 16, 2024
Welcome to Sarah
Welcome to Sarah Asbury who joins as a graduate student developing methods to map T cell exhaustion from multi-modal data.
Jan 9, 2024
New preprint on automated machine learning for scRNA-seq analysis
Congratulations to Cindy and Alina for their new preprint on automated machine learning for scRNA-seq analysis!.
Sep 12, 2023
Congratulations to Shanza for being awarded a 3 year Canada Graduate Scholarships — Doctoral award and to Michael for being awarded a TFRI MOHCCN Data Science fellowship.
Jun 1, 2023
Welcome to Haifen and Kevin
Welcome to Haifen Chen and Kevin Sun who join as a Research Associate and NSERC summer student respectively. Haifen will be working on a range of collaborations around single-cell and spatial omics, and Kevin will be working on methods development for learning cell representations from highly-multiplexed imaging data.
Lunenfeld-Tanenbaum Research Institute
Mount Sinai Hospital
Joseph and Wolf Lebovic Health Complex
L5-230 — 60 Murray St.
Toronto, Ontario M5T 3L9
Kieran R Campbell