Bogdan Pasaniuc is an associate professor of Computational Medicine, Human Genetics and Pathology&Lab Medicine at UCLA. His group develops statistical and computational methods to understand the genetic basis of disease, focusing on under-represented populations, integrative genomics, and biobank studies. His group developed new methodologies to integrate epigenetic profiles within trans-ethnic studies to localize causal variants in post-GWAS studies. More recently, his group introduced transcriptome-wide studies based on gene expression imputation as a principled approach to localize causal genes for complex traits, and applied such approaches to identify new risk genes for multiple complex traits such as Schizophrenia or Ovarian Cancer.

 

Dr. Pasaniuc develops statistical and computational methods to understand the genetic basis of disease, focusing on integrative genomics, heritability and population structure. Before UCLA, Bogdan was a postdoc at Harvard School of Public Health and in the Program in Medical and Population Genetics at the Broad Institute in the group of Alkes Price. Prior to that, Bogdan completed a postdoc at International Computer Science Institutein Berkeley, CA. Bogdan obtained his Ph.D. in Computer Science from the University of Connecticut working in the lab of Ion Mandoiu and B.Sc. from the Faculty of Computer Science, “A.I. Cuza” University of Iasi, Romania in 2003. (Source: UCLA Dept of Pathology)