Pangenomics for genome
variation and disease
We develop methods to build and analyze pangenomes, with applications in cancer and complex disease.
Translational Genomics Research Institute · Phoenix, AZ
Research
We span the full pangenomics stack, from pangenome×assembly free of single-reference bias, through pangenome×compression into unified queryable graphs, to pangenome×association powered by graph-based genotyping — applying it all to cancer×pangenomics and complex×diseases.
Pangenome×Assembly
We reduce the cost and complexity of germline genome assembly, making personalized pangenomics practical for clinical and research applications. This includes developing streamlined pipelines and benchmarking assembly approaches across sequencing platforms.
Pangenome×Compression
We develop algorithms and data structures for compressing pangenome alignments and graphs. Using techniques like tracepoints and implicit representations, we enable storage and querying of population-scale genomic data without sacrificing base-level resolution.
Pangenome×Association
We leverage pangenomes for genome-wide association studies, enabling discovery of trait associations with structural variants and sequences absent from linear reference genomes. Our methods use pangenome graph features as genetic markers rather than variants called against a reference.
Cancer×Pangenomics
We construct personalized pangenomes from tumor and matched normal samples using long-read sequencing and de novo assembly. This approach reveals somatic structural variation that single reference-based approaches miss.
Our×Software
Team
The lab opened in January 2026 — we are actively building the team.
Selected×Publications
Full list on Google Scholar or ORCID.