Kieran Campbell
Associate Professor
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolKieran Campbell is a research group lead and assistant professor combining 14 years of expertise in probabilistic and statistical machine learning with a focus on single-cell and spatial cancer genomics. He leads multidisciplinary teams that develop new models, large-scale analyses, and state-of-the-art software tools—ranging from antibody panel design to in-browser multiplex imaging—often in collaboration with pharma and biotech partners. His academic appointments at Mount Sinai Hospital (Toronto) and the University of Toronto, plus affiliations with the Vector Institute and OICR, reflect a rare blend of translational impact and methodological rigor. Trained at Oxford, Cambridge and Edinburgh, he brings deep quantitative physics-rooted thinking to biological problems and a track record of building research-grade software that bridges analysis and applied deployment.
14 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc), Mathematical Physics, Bachelor of Science (BSc), Mathematical Physics at The University of EdinburghDoctor of Philosophy (Ph.D.), Computational and Statistical Genomics, Doctor of Philosophy (Ph.D.), Computational and Statistical Genomics at University of OxfordMaster of Philosophy (MPhil), Computational Biology, Master of Philosophy (MPhil), Computational Biology at University of Cambridge
Github Skills (53)
single-cell-genomics10
dimensionality-reduction10
python10
cancer-genomics10
spatial-transcriptomics10
seq10
factor-analysis10
gene-expression10
bioconductor10
rna-seq10
bioinformatics10
data-visualization10
clustering10
data-integration10
imaging9
Programming languages (5)
Github contributions (5)
kieranrcampbell/pseudogp
Nov 2015 - Oct 2017
Contributions:17 commits, 4 PRs, 5 pushes in 1 year 10 months
pseudotimebioinformaticsrna-seqprobabilisticrna-seq-data
kieranrcampbell/ouija-paper
Jun 2017 - Feb 2018
Contributions:62 commits, 61 pushes, 1 branch in 7 months
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