Cankun Wang

Cankun Wang works in computational biology and bioinformatics, developing methods to analyze large-scale biological data such as single-cell and spatial transcriptomics, gene expression, and protein interactions. Recent work also touches on applying machine learning to medical imaging and electronic health records, including studies of Alzheimer's disease progression. This research is largely computational and data-driven, aimed at building tools and pipelines for interpreting complex biological and clinical datasets.

Publication output has grown substantially over the past decade, rising from a handful of papers in 2018-2019 to a peak of 40 in 2024, indicating an increasingly active research program.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026