Deciphering plant adaptation to environmental stress through transcriptional complexity.
Unraveling the regulatory networks that control alternative splicing under environmental stress.
Studying cold, heat, and drought responses in Arabidopsis, crops, and tree models.
Graph theory and network science to model transcriptional complexity in stress responses.
How plants coordinate with soil microbiota to enhance stress tolerance and nutrient uptake.
Our research focuses on the molecular mechanisms by which plants respond to diverse environmental stresses. Ultimately, we aim to leverage these insights to strategically manipulate target genes, advancing biotechnology for applied agriculture and climate-resilient crops.
We use network analysis and graph theory to model the relationships between genes, transcripts, and proteins in plant stress responses.
Mapping molecular interactions as networks reveals key regulatory hubs and predicts how perturbations affect transcriptional complexity across species.
▷ SEE PUBLICATIONSIntegrating multi-omics data to understand how transcriptional networks respond to environmental perturbations.
The biochemical basis of alternative splicing and its role in generating transcriptional diversity under stress.
Algorithms and tools for analyzing high-throughput sequencing data to find novel regulatory patterns.
Ph.D.
Ph.D.
We are always looking for motivated students and researchers to join the lab. If you are interested in RNA biology, plant stress, or computational biology, reach out — we would love to hear from you.
Instituto de Ciencias de la Ingeniería · Universidad de O'Higgins
Rancagua, Chile