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Bansal, Vikas, Ph.D.
Research Scientist III (Bioinformatics)
Vikas Bansal, Ph.D., develops computational methods for detecting human genetic variation by using high-throughput sequencing technologies, reconstructing diploid human genomes and statistical methods for enabling sequencing-based disease association studies. He is first author and co-author of over 10 published peer-reviewed papers including the Nature Reviews Genetics article, “Statistical Analysis of Associations Involving Rare Variations and Common Phenotypes,” published in Nov. 2010. Co-authors include STSI colleagues Ondrej Libiger, Ph.D., Ali Torkamani, Ph.D., and Nicholas Schork, Ph.D. Vikas received the Ph.D. in computer science in 2008 at UC San Diego, which recognized him with the Outstanding Dissertation Award in computer science and engineering.