معرفی
Naeimeh Atabaki Pasdar is a Postdoctoral Research Fellow at the Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford. She holds a multidisciplinary background with a BSc in Biomedical Engineering, MSc in Bioinformatics, and PhD in Genetic Epidemiology. Her research focuses on computational biology approaches to understand cardiometabolic diseases, particularly type 2 diabetes, obesity, and fatty liver disease, leveraging large-scale genetic and multi-omics datasets.
She is affiliated with the Karpe, Hodson and Christodoulides Group within the Metabolic Research Group at Oxford. Her work emphasizes causal inference methodologies, including Mendelian randomization and machine learning, to dissect disease mechanisms and predict individual susceptibility to cardiometabolic disorders. Key contributions include studies on adipose tissue distribution, GLP-1 receptor pharmacogenomics, and metabolic resilience through genomic plasticity.
Her research integrates clinical, genetic, and imaging data (e.g., MRI liver fat quantification) to develop predictive models for disease progression and drug response. Collaborations with initiatives like the IMI DIRECT consortium highlight her involvement in translational research targeting precision medicine applications.