About Us - Fabric Genomics

Enabling precision medicine with AI-driven interpretation

For all NGS testing from whole genomes and exomes to targeted panels

Fabric Genomics, a GeneDx company, offers the leading AI-based platform for NGS analysis, interpretation, and clinical reporting for rare disease, hereditary risk, and cancer testing with best-in-class accuracy and scalability. 

Dozens of the worlds leading hospitals, clinical labs, and academic centers such as Cincinnati Children’s, InterMountain, Rady Children’s Institute,  and others count on Fabric AI technology and Fabric’s clinical services for their complete NGS software and services needs. 

Why Fabric?

Accuracy &
Diagnostic Yield
  • 98% of causal variants ranked in the top 5 by GEM for rare disease
  • ACMG-compliant classification backed by validation across
    > 50,000 variants
Scalability
& Efficiency
  • 10 times more cases with the same team
  • Average clinical review time of 15min for WGS
  • Optimized workflow for efficient throughput, secure, API integration with LIMS & EMR
Comprehensive Software
& Services
  • Get up and running in as little as 4 weeks
  • Software Set up & Lab Validation
  • Panel curation and SOP design
  • Interpretation and signout

Leadership

FG MR

Martin Reese, PhD.

Co-Founder, President, Board Member, and CEO

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Erwin Frise, PhD.

Vice President of Technology and Data Science 

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Steven Flygare, PhD.

Vice President of Bioinformatics

 

 

Vanisha

Vanisha Mistry, PhD.

Vice President of Customer Success

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FG SS

Sam Strom, PhD. FACMG

Vice President of Clinical Operations and Clinical Genomics

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Russell Nofsinger, PhD.​

Vice President of Genomic Medicine

History

Publishing of VAAST
June 2011
Publishing of Phevor
April 2014
Guiness Record/Rady
February 2018
ACE
Release

March 2019
GEM Release
October 2020
Publication of GEM
October 2021
CLIA WGS service with Broad Clinical Labs
April 2023
Acquired by GeneDx as an Independent Subsidiary
2025

Discover how Fabric Genomics can help you succeed with NGS testing

Fabric Genomics
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Fabric Genomics
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