Identification of novel genes responsible for atypical forms of diabetes

The emergence of precision medicine and its diagnostic, therapeutic, as well as preventative applications, highlights the necessity for a better understanding of the underlying molecular processes responsible for disease pathology. Integration of clinical phenotype data with population-scale genetic variation data can identify new targets for genetic diagnosis and gene therapies. I am utilizing my medical, molecular and genetic knowledge in developing computational algorithms for identifying genetic variations responsible for specific subtypes of a disease like Diabetes, and the best ways for diagnosing, treating, and preventing potential complications by targeting the underlying molecular derangement.