Leo Collado-Torres, PhD
RNA-seq analysis, recount2 co-lead, and recount3 package maintainer. Focused on metadata schema, Bioconductor access, and disease-cohort definitions.
Reomics grows from work on large public RNA-seq resources and a belief that better metadata is essential to turn those resources into usable evidence.
recount3 demonstrated uniform processing and access to expression and splicing summaries across a vast collection of public RNA-seq data. Members of the Reomics team contributed to the recount ecosystem and its research workflows.
Reomics is a new effort focused on the missing connective tissue: harmonized, validated metadata and prioritized evidence for biomedical and drug-development questions.
The pitch deck describes a small technical team spanning RNA-seq analysis, engineering, and translational data science.
RNA-seq analysis, recount2 co-lead, and recount3 package maintainer. Focused on metadata schema, Bioconductor access, and disease-cohort definitions.
Computational genomics and engineering across metadata pipelines, quality review, reproducible workflows, and processing pilots.
Data science translation, infrastructure coordination, partner discovery, and translational reporting.
Our first priority is to build an auditable curation layer: clear source records, normalized labels, confidence measures, and a path for correction. It is the groundwork for future query and processing tools.
We welcome conversations with biotechnology and pharmaceutical teams, researchers, and prospective collaborators.