One of the major mysteries of biology is the process of aging. Our goal is to understand the molecular mechanisms governing aging and age-related decline not simply to extend lifespan but to improve overall health.

Computer scientists look at the genotypic fingerprints of DNA or RNA sequences. Biologists focus their efforts on studying genes and pathways responsible for phenotypic profiling. These two are linked by novel technologies that enable studying molecular machinery of main pathways and diseases at a significantly accelerated pace. We will be utilizing Microfluidics, Machine Learning, Microscopy, Automation, Genetics, and Molecular biology to develop novel high throughput technologies for answering fundamental biological questions using C. elegans. Sohrabi lab also works closely with computer scientists and biologists in Science and Engineering Innovation and Research Building (SEIR) at UTA to bridge this gap. Here are some examples of our previous works!