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:
- Probabilistic 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
Latest news
Apr 26, 2022
Chengxin presenting at RECOMB and RECOMB-CCB
Chengxin Yu will be in San Diego at RECOMB 22 and the CCB satellite to present our work on using single-cell counterfactuals to dynamically evaluate the accuracy of bulk RNA-seq deconvolution methods.
Jan 21, 2022
Undergraduate summer research opportunity available
We are looking for an undergraduate student researcher to join us for a summer internship to build classification models of YAP-dependent cancer subtypes via the University of Toronto Data Science Institute SUDS program. Please see here for details and eligibility, our project is entitled AI classification of cancer patients into novel YAP-dependent subtypes. The deadline to apply is February 7th and applications may be submitted here.
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