Kieran Campbell
Assistant Professor
Develops machine learning methods for single-cell and cancer genomics in translational biomedicine.
Kieran Campbell's lab at Toronto works on genomics & computational biology, medical imaging & healthcare AI and multilingual, translation & linguistics. 7 papers since 2023, 4 at top venues, mostly Nature Communications and TMLR. 10 PhD students and 1 master's student. 11 alumni. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 57%
- PhD students
- 10
- MS students
- 1
- alumni listed
- 11
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 3 papers2024 · T1 1
- 1 papers2023 · T1 1
T1 venuesOtherVenues: Nature Communications, TMLR
Research focuspaper titles that use each topic's words
- Genomics & computational biology5 papers
- Medical imaging & healthcare AI1 paper
- Multilingual, translation & linguistics0 papers
- cancer genomics0 papers
- genetics0 papers
Paper list
From the lab homepage.
20261 paper
20252 papers
20243 papers
- Genome BiologyBeyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performance (opens in a new tab)
- Nature BiotechnologyCharacterizing the impacts of dataset imbalance on single-cell data integration (opens in a new tab)
- Nature Communications (T1)The impacts of active and self-supervised learning on efficient annotation of single-cell expression data (opens in a new tab)
Where alumni went11 listed
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
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- Lab homepage
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