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Sivan  Bercovici

Sivan Bercovici


Sivan Bercovici is a member of the founding team at SV Bio, and serves as the company’s Chief Technology Officer. Throughout his academic carrier, his primary research interest has been developing and applying machine-learning to problems in human genetics and to the study of human disease. Over the years, his growing emphasis has been on deriving efficient and effective methods for the analysis of large amounts of data stemming from studies of large cohorts and their genomes. In particular, he has developed genetic mapping methods of medical relevance, including contributions to the study of families via linkage-analysis, hidden-relatedness via identity-by-descent genetic mapping, and uncovering the hidden relation between ancestry and genetic disorders via admixture-mapping, offering new ways to predict inherited risks of diseases, with immediate implications on preventive and therapeutic solutions.
Dr. Bercovici holds a Ph.D. in Computer Science from the Technion – Israel Institute of Technology. He also received an M.A. in Computer Science from the Technion. Dr. Bercovici was a postdoctoral researcher at Stanford’s Artificial Intelligence Laboratory, where he continues to contribute as a senior research scientist.


Sivan Bercovici (SV Bio)
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This presentation will discuss how large-scale genomic data are being translated into actionable clinical information at the point of care. Through the use of case studies, Dr. Bercovici will demonstrate the very significant impact that the clinical adoption of genomic medicine is having on patient outcomes today. Read more.

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