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 analyses for and contributes within multi-disciplinary teams to several National Institutes of Health and Department of Defense-funded studies. His research expertise emphasizes the integration of multiple omics data types (e.g., genomic, transcriptomic, and epigenomic data), using well-established and cutting-edge computational methods to identify and understand genetic risk factors and molecular consequences of substance use, including cigarette smoking, alcohol, cocaine, opioids, and cannabis. Additionally, his research investigates the biological impact of substance use on immune function and HIV progression and treatment.