Sterling Thomas

Sterling Thomas

Sterling Thomas

Areas of Expertise:
Bioinformatics, big data analytics, high performance computing, algorithmic trading, quantitative finance, modeling and simulation

Background:
As an informaticist, Sterling leads a team of Noblis data scientists who analyze and manipulate large, diverse data-sets to identify and leverage valuable insights for many clients. He develops analytical tools that can be scaled to solve big data problems in the national security, biological, and financial domains.

Noblis Projects:

  • Pattern recognition software for modeling gene-signaling associated with host-pathogen interactions
  • Automated genomics QA/QC pipeline for whole genome sequences generation by next-generation sequencers
  • BioSparc: data sharing web-portal for infectious disease community and outbreak response
  • Biological data standards for sharing high-throughput phenotypic and genotypic data

Education:
Doctorate Degree, Integrative Life Sciences - Bioinformatics, Virginia Commonwealth University
Bachelor's Degree, Health Sciences, Old Dominion University

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