Four connected research programs
The lab is organized around biological questions that require method development, sequencing, computation, and interpretation to be designed together rather than treated as separate steps.
Cancer genomics
We study structural variation, copy-number change, ecDNA, fusion discovery, ancestry-aware tumor biology, and multi-omic states in clinically relevant Chilean cancers.
Long-read genomics and genome assembly
We build and apply long-read and hybrid methods for genome assembly, phasing, reference construction, and the interpretation of difficult genomic regions.
Human genetics and population genomics
We analyze Chilean and Latin American genomic diversity to improve ancestry-aware interpretation, disease association, and clinically relevant representation in genomics.
Microbial and multi-omics systems
We work on metagenomics, metatranscriptomics, microbial adaptation, and multi-omics integration across environmental and disease-associated communities.
Research is built as an integrated stack
Across all programs, the lab combines sequencing strategy, laboratory coordination, high-performance computing, software development, and statistical interpretation inside one workflow.
Data generation
We design projects around the right assay, coverage profile, and sequencing platform instead of adapting methods after the fact.
Computation
We build portable pipelines and analysis environments that run reproducibly on local institutional infrastructure and HPC systems.
Interpretation
We connect genomic signals to tumor biology, population structure, microbial ecology, and translational questions that matter to collaborators.