Ted Chiang
Clinical Bioinformatics Manager
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolTed Chiang is a Clinical Bioinformatics Manager with nine years of dedicated experience translating sequencing data into actionable results for clinical settings, currently leading analyses for targeted panels, exomes, and genomes at AiLife US. He specializes in developing and validating CNV detection methods across diverse sequencing assays and has deep operational experience running CAP/CLIA-style workflows, documentation, and patient data management. Ted’s background spans academic and hospital research—from algorithm and web-tool development to cluster optimization and SQL-backed data systems—reflecting a rare blend of hands-on programming and clinical validation. Based in Houston, he pairs advanced training in bioinformatics, genetics, and biochemistry with a pragmatic focus on turning large, messy genomic datasets into robust, production-ready diagnostics.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Bioinformatics, Master's degree, Bioinformatics at Georgia Institute of TechnologyMaster’s Degree, Molecular and Medical Genetics, Master’s Degree, Molecular and Medical Genetics at University of TorontoBachelor’s Degree, Biochemistry, Bachelor’s Degree, Biochemistry at McGill University
Github Skills (12)
bcftools7
samtools7
cancer-genomics6
swap5
panels5
bioinformatics5
genomics5
genome3
wine2
coverage2
depth2
discovery2
Programming languages (5)
Github contributions (5)
theodorc/Atlas-CNV
Sep 2018 - Dec 2019
Method to detect exonic CNVs in NGS Gene Targeted Panels
Contributions:5 commits, 2 pushes, 1 branch in 1 year 2 months
methodngsdetectgenecnvs
theodorc/cnv
Jun 2016 - Jun 2016
Contributions:10 pushes, 1 branch in 2 days
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