Wei Jiao

The paper introduces OncoGAN, a generative AI tool that creates synthetic cancer genomes to address the lack of gold-standard datasets for benchmarking cancer genome analysis tools.

This paper develops a deep learning classifier using whole genome sequencing data to distinguish cancer types and identify metastatic origins.

The paper predicts cancer cell-of-origin from DNA sequences by matching mutational landscapes to chromatin modification patterns in normal tissues.

The paper describes the PCAWG project's large-scale analysis of cancer whole genomes across multiple computing environments, producing validated consensus variants for downstream research.