Quang-Huy Nguyen is a PhD candidate and graduate teaching assistant at Auburn University with nine years of experience building reproducible bioinformatics and AI tools that bridge research and production. He has led multi-omics and metabolomics pipelines, created R packages for gene-module detection and cancer analysis, and dockerized complex software to make advanced methods accessible to non-experts. As an AI engineer and data analyst in industry, he delivered BI-driven retention improvements, real-time analytics connected to Redshift/MongoDB, and integrated AI features into consumer apps. Quang-Huy combines strong mentoring experience—teaching hundreds of undergraduates and co-mentoring researchers—with hands-on model development (e.g., a semi-supervised multi-omics classifier achieving 99% AUC). He pairs deep domain knowledge in computational biomedicine with practical engineering skills in Python, R, Docker, and cloud data stacks.
Contributions:1 PR, 3 pushes, 1 branch in 3 years 5 months
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