Andrés Colubri

scSketch allows interactive trajectory sketching and pathway-aware analysis of single-cell data, revealing infection-associated gradients in human oral keratinocytes.

This paper develops an agent-based model to simulate and predict infectious outbreaks in confined environments, showing it can accurately predict infection numbers and suggest improved containment protocols.

This study models the 2001 FMD outbreak in Mar Chiquita, Argentina, using spatial transmission kernels to estimate between-farm infection risk and assess the impact of isolation interventions.

This study investigates HCMV infection in primary human oral keratinocytes, showing it drives dysregulated intermediate differentiation and alters immune responses to support viral replication.

Sciviewer allows interactive visualization of single-cell RNA-Seq data within Python, enabling seamless integration between visual exploration and programmatic analysis.

This paper develops CRISPR-Cas13a-based diagnostics for real-time detection of Ebola and Lassa viruses in field settings, demonstrating sensitivity and usability in clinical samples.

The paper develops machine-learning prognostic models for Ebola virus disease using data from the 2014-16 outbreak, validated across independent datasets and integrated into a mobile health app.