Jose Oviedo

Jose F. Oviedo develops AI-driven and HPC-enabled solutions for genomics and epigenetics research. He leads the data team in the Lemos Lab at the University of Arizona, where he builds and manages high-performance computing pipelines, machine learning models, and bioinformatics workflows to support large-scale toxicology, epigenetics, and aging studies. He also frequently collaborates with other researchers and academic institutions worldwide to advance genomic, epigenomic, and aging research.

His research focuses on DNA methylation, particularly ribosomal DNA (rDNA) clocks, as conserved markers of biological aging across humans, mice, and other mammals. Applications of his work, published in peer-reviewed journals, span environmental epigenetics, toxicology, and neurodegenerative diseases.
 

Areas of Research:

Aging & Epigenetics: rDNA methylation clocks, biomarkers of biological age, neurodegeneration
Environmental Epigenetics: toxicology, diet, and environmental exposure impacts 
Computational Genomics: bioinformatics methods development and studies in model organisms 
HPC & AI/ML: scalable ETL pipelines, deep learning, and generative AI for bioinformatics workflows