Fields of Study
Areas of Interest
- Statistical genomics.
- Machine learning.
- Latent variable modelling.
Dr. Kieran Campbell is an investigator at the Lunenfeld-Tanenbaum Research Institute and an assistant professor at the Departments of Molecular Genetics and Statistical Sciences, University of Toronto.
His research focusses on Bayesian models and machine learning for high dimensional biomedical data, including single-cell and cancer genomics.
Recently, he has led efforts to develop statistical machine learning methodology to integrate single-cell RNA and DNA sequencing data to uncover the effects of tumour clonal identity on gene expression, as well as methods to automatically delineate the tumour microenvironment from single-cell RNA-sequencing data. Such findings can improve our understanding of cancer progression and of why certain tumours are resistant to therapies, leading to relapse.