Xiavan Roopnarinesingh is a bioinformatics engineer with nine years of experience applying machine learning and data science to next-generation sequencing and microarray data. Currently at UCLA Health, Xiavan performs cancer variant calling in a clinical molecular pathology setting, translating computational methods into patient-ready results. Their graduate research pioneered meta-analysis of public DNA methylation datasets to predict gene function and link global methylation signatures to biological features and diseases. Comfortable building research infrastructure as well as models, Xiavan previously developed sequencing data databases and managed compute/storage systems for an academic lab. Based in Los Angeles, they blend rigorous academic training with practical clinical bioinformatics, and have a knack for extracting new biological insight from noisy public data.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Biology-Chemistry, 3.89, Bachelor of Science - BS, Biology-Chemistry, 3.89 at Southern Nazarene University
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