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
Latest news
Mar 20, 2023
Paper on Multi-objective Bayesian optimization of heuristic objectives accepted to TMLR
Congratulations to Alina Selega whose paper on Multi-objective Bayesian optimization of heuristic objectives has been accepted to Transactions on Machine Learning Research (TMLR). You can read the paper here.
Jun 14, 2022
New preprint: AutoML for genomic data analysis
We have a new preprint on Multi-Objective Bayesian Optimization methods over heuristic objectives with applications in genomics. Check out the paper and the tweetorial.
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