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Bryan Quach

Bioinformatics Scientist


PhD, Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill
BS, Bioinformatics, Loyola University Chicago


Bryan Quach holds more than 10 years of experience developing, assessing, and applying statistical techniques, bioinformatics tools, and machine-learning methods for research programs focused on identifying environmental, molecular, and genetic factors that underlie complex diseases and traits. He leverages training and experience that blends a broad knowledge base in statistics, computer science, molecular biology, and genomics to design interdisciplinary strategies for integrating and analyzing large biological data sets. He is well-versed in architecting frameworks and workflows for efficient, automated, and reproducible data processing and analysis. Through leading and collaborating on projects that require compute-intensive and data-intensive approaches, Dr. Quach possesses a diverse skill set for cleaning, managing, quality controlling, analyzing, and visualizing data using high-performance computing and cloud computing infrastructures.

Dr. Quach joined RTI in 2017. He leads and contributes within multi-disciplinary teams to several National Institutes of Health and Department of Defense-funded studies. He focuses on several facets of substance use and HIV research, including 1) the identification of genetics risk factors and molecular consequences of substance use (alcohol, cannabis, cigarette smoking, cocaine, and opioids), 2) the impact of substance use and living with HIV on gene regulation and immune function, and 3) the effects of gene dysregulation in people living with HIV on co-occurring health conditions and HIV progression and treatment. Dr. Quach tackles challenges in these research areas using expertise in well-established and cutting-edge computational methods for the analysis and integration of multiple omics data types (e.g., genomic, transcriptomic, and epigenomic data). 

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