Keynote: Tackling operational and scientific challenges in leveraging Next Generation Sequencing and Big Data technologies to transform Translational and Precision Medicine


Event Details


Tackling operational and scientific challenges in leveraging Next Generation Sequencing and Big Data technologies to transform Translational and Precision Medicine

Abstract

NGS technologies coupled with computational methods have the potential to transform the way we apply genetic information to better human health. The broad and widespread usage of genetic information in research, translational, and clinical settings can be a process that is involves technical, scientific, operational, and clinical expertise. At the heart of the challenge and opportunity is the leverage of massive genetic and clinical data at the individual and population level to arrive at insight to support research and decision-making. I will describe functional capabilities that most organizations will need to consider in developing programs that leverage genetic data for translational and precision medicine and how Illumina is empowering our customers to unlock the power of the genome.

About the Speaker

 

John Shon

MD, MS, VP of Bioinformatics and Data Sciences
Illumina

Biography

John Shon is VP of Bioinformatics and Data Sciences at Illumina.  In this role he leads a global team of bioinformatics scientists in developing NGS algorithms and methods for Illumina instruments and assays.  He also leads bioinformatics for clinical interpretation and translational informatics software with a focus in oncology and rare disease.  Prior to Illumina, Dr. Shon worked for over a decade in pharma, most recently as VP of Informatics, Research IT and External Innovation at Janssen Pharmaceuticals where he supported R&D and Janssen Diagnostics teams. At Roche, Dr. Shon led informatics groups in translational research for target discovery, drug safety and personalized healthcare.

John earned his AB in Biochemistry from Harvard and an MD from Stanford. He completed residency in Internal Medicine at the University of Chicago, and an MS and NLM postdoc in Medical Information Sciences at Stanford.

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