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Zack Sanborn is a highly experienced bioinformatics professional with over 22 years of work experience. He has worked on numerous computationally-intensive projects in both academic and commercial settings. Zack's expertise lies in comparing whole genome sequencing data from cancerous and normal biopsies to discover somatic point variants and copy number alterations. He has also developed a platform for a CLIA-validated/CAP-accredited commercial product called Omics Core, which translates somatic mutations from patient sequencing data into a clinical report that provides actionable findings. Zack's algorithms are the core technology of the FDA-approved Tumor-Normal mutation profiling test called Omics Core, which combines clinical
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My background in bioinformatics has both breadth and depth, the result of working on numerous computationally-intensive multidisciplinary projects in both academic and commercial settings. As part of my doctoral thesis research, I wrote highly efficient algorithm that compared terabytes of whole genome sequencing data from cancerous and normal biopsies to discover somatic point variants, small indels, structural variation, and copy number alterations. This algorithm is able to complete a whole genome analysis in a matter of hours, outcompeting algorithms that required several days to perform the same computations. My technology was patented and spun out of the university to form a startup (Five3 Genomics), where I developed it into a platform for a CLIA-validated/CAP-accredited commercial product (GPS Cancer) that translates somatic alterations from patient sequencing data into a clinical report that provides physicians with actionable findings. Finally, my algorithms are the core technology of the FDA-approved Tumor-Normal mutation profiling test called Omics Core, which features the first FDA-approved measure of a tumor's "true" tumor mutation burden (TMB) based on whole exome sequencing data. Leveraging my expertise and familiarity with collections of clinically-approved and/or research-use-only analyses, I have designed, developed, and overseen the development of analytical frameworks for analyzing genomic and transcriptomic data, including: estimates of Tumor Mutation Burden, ranking or filtering somatic mutations based on measures of their biological effect, estimating purity & ploidy of the tumor sample, identifying cases of sample contamination or sample mismatches, inferring patient population, and detecting fusion sequences from raw sequencing data. The GPS Cancer product and its related technologies have successfully returned results to thousands of patients across the country, numerous academic collaborations, and provided analytical support to clinical trials.

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Work Experience

3000 RDU Center Drive, Morrisville, NC, 27560, US
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Zack Sanborn's Professional Milestones

  • Genomics Data Scientist | PhD Inventor (2020-05-01~): Creating cutting-edge genetic data algorithms to revolutionize decision-making processes and drive technological advancement.
  • Vice President Applied Genomics (2019-04-01~2020-05-01): Revolutionized genetic testing processes to advance medical research and innovation.
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Education

Harvey Mudd College
Harvey Mudd College

Applied Physics

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