Dr. Kieran Campbell
Dr. Kieran Campbell is a research scientist in the field of applied statistical machine learning who is working on developing methods for Bayesian modeling and inference for single-cell and population level biomedical data. He focuses on combining complex datasets with novel statistical machine learning approaches to both forward our understanding of disease mechanisms and to support the ability to make diagnostic and treatment decisions.
- Associate, OICR
- Scientist & Principal Investigator, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital
- Assistant Professor, University of Toronto
- Statistical machine learning
- Multi-omics data
- Single-cell data analysis
- Data analysis methods development
- Data visualization
- High-dimensional imaging data
- Machine learning
- Lähnemann D, Köster J, …, Campbell KR, …, Schonhuth A. Eleven grand challenges in single-cell data science. Genome Biol. 2020;21(1):31.
- Zhang AW, O’Flanagan C, Chavez EA, …, Campbell KR*, Shah SP*. Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling. Nature Methods. 2019;16:1007-1015.
- O’Flanagan CH*, Campbell KR*, Zhang AW*, …, Aparicio S. Dissociation of solid tumor tissues with cold active protease for single-cell RNA-seq minimizes conserved collagenase-associated stress responses. Genome Biol. 2019;20(1):210.
- Campbell KR, Steif A, Laks E, …, Shah SP. clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers. Genome Biol. 2019;20(1):54.
- NSERC Discovery Award
- UKRI-Mitacs Globalink Doctoral Exchange Program
- Banting Postdoctoral Fellowship
Previous experience and education
- Banting Postdoctoral Fellow, University of British Columbia
- University of Oxford
- University of Cambridge
Opportunities to collaborate
To collaborate with Dr. Campbell, please contact him directly.
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Dr. Kieran Campbell