Ekta Khurana, Ph.D., is an Assistant Professor of Computational Genomics at Weill Cornell Medicine. Her lab research falls under the broad categories of genomics, computational biology and systems biology. She participates in multiple international genomics consortia and collaborates with scientists at Weill Cornell to develop novel approaches to understand the role of sequence variants in human disease.  She works to develop integrative computational models to understand the relationship between genomic sequence variation and disease.  She has worked to developed multiple computational approaches (for example, FunSeq and RegNetDriver) that integrate large-scale data from multiple resources to identify the DNA point mutations and rearrangements in protein-coding genes and non-coding regulatory regions leading to human disease, in particular cancer.