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JK

Jack Kuipers

Computational Biology

ETH Zurich

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About Jack Kuipers at ETH Zurich (ETH)

Jack Kuipers is a computational biologist at ETH Zurich who develops statistical and machine learning methods for cancer genomics and single-cell data analysis. Their research directions are illustrated by key works including "Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees", and "COMPASS: joint copy number and mutation phylogeny reconstruction from amplicon single-cell sequencing data".

Research Areas

cancer genomicssingle-cell transcriptomicsspatial transcriptomicsphylogenetic inferencecomputational diagnosticsquantum chaosdynamical systems
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Academic Impact Matrix

Research output metrics for Jack Kuipers aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations8,927

Above average

Publications169

Active researcher

h-index30

Established scholar

i10-index66

Growing portfolio

Lab Environment

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Top Publications

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