معرفی
Dr. Dragana Vuckovic is a Lecturer in Computational Epidemiology and Biostatistics at the School of Public Health, Faculty of Medicine, Imperial College London, specializing in data-driven approaches to healthcare challenges with emphasis on genetic and epidemiological research.
Her academic background includes:
- BSc in Mathematics, University of Torino, Italy
- MSc in Mathematics (thesis on partial differential equations), University of Trieste, Italy
- PhD in Statistical Genomics, University of Trieste, Italy
Dr. Vuckovic's research integrates computational methods with healthcare applications, focusing on genetic epidemiology of hearing loss, polygenic risk score development, and multi-omics data integration. Her work examines gene-environment interactions in aging using large-scale datasets exceeding 500,000 participants, with particular interest in machine learning applications for complex biological systems. Current projects investigate how polygenic and somatic variations interact with environmental exposures to influence health outcomes.
She demonstrates significant research leadership as lead analyst for the NIHR Blood & Transplant Research Unit's Genetics Theme and principal investigator of the international Blood Cell Consortium, collaborating with the Wellcome Sanger Institute and University of Cambridge. Her methodological expertise spans genome-wide association studies (GWAS), sequencing data analysis, and statistical modeling of consanguineous populations.
Dr. Vuckovic actively supervises junior researchers and contributes to Imperial College's research infrastructure through her roles in the School of Public Health and Faculty of Medicine.
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