Bruna Balliu

Brunilda Balliu, Ph.D.



My research interests center on the development of statistical and computational methodologies to examine molecular and cellular mechanisms underlying complex human traits, focusing on issues related to aging and insulin resistance. Specifically, I develop methods for joint analysis of multiple types of omics data, such as genomic, epi-genomic, and transcriptomic data, methods for background noise correction in longitudinal omics studies, and likelihood-based methods for more efficient parameter estimation in studies with response-selective sampling designs, such as case-control or family-based studies.

Balliu's web