Brunilda Balliu is an Assistant Professor at UCLA with 11 years of experience developing statistical methodology and computational tools for response-selective sampling designs, particularly in genetic association studies. Her work sits at the intersection of statistical genetics and computational medicine, with a focus on joint analysis of multi-omics data, haplotype-based association, and gene-gene and gene-environment interactions. She progressed from a PhD in Statistical Genetics at Leiden to postdoctoral and fellowship roles at Stanford and UCLA, translating methodological advances into tools for understanding molecular mechanisms of complex traits. Known for bridging rigorous theory with applied genomics, she brings deep expertise in study design-aware inference that often goes unnoticed but critically improves the reliability of genetic findings.
10 years of coding experience
Bachelor, Statistics, Bachelor, Statistics at Athens University of Economics and Business
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