734-765-8557

Applications:
Bioinformatics, Biological Sciences, Genetics, Genomics, Medical Informatics, Nanotechnology, Precision Medicine
Methodologies:
Algorithms, Data Collection Design, Data Management, Data Mining, Data Visualization, High-Dimensional Data Analysis, Statistics, Time Series Analysis
Relevant Projects:

DoD, NIH, AFAR, 3M, DARPA


Carlos Aguilar

Assistant Professor

Biomedical Engineering

The Aguilar group is focused understanding transcriptional and epigenetic mechanisms of skeletal muscle stem cells in diverse contexts such as regeneration after injury and aging. We focus on this area because there are little to no therapies for skeletal muscle after injury or aging. We use various types of in-vivo and in-vitro models in combination with genomic assays and high-throughput sequencing to study these molecular mechanisms.