James Boocock is a postdoctoral scholar at UCLA with 14 years of experience at the intersection of genetics, bioinformatics, and computer science. Trained with a PhD in Human/Medical Genetics and a BSc in Computer Science, he builds scalable analysis pipelines and deploys HPC and Galaxy-integrated tools to extract biological insight from large genomic datasets. His background spans hands-on lab support, teaching algorithms and data structures, and production bioinformatics roles at Mount Sinai and Otago, reflecting a rare combination of computational rigor and experimental domain knowledge. Fascinated by DNA as an information system, he seeks to translate ideas between biological and computational representations to tackle increasingly large and complex data problems. Based in Los Angeles, he leverages experience in workflow engineering and selection-detection pipelines to drive reproducible, high-throughput genomics research.
14 years of coding experience
4 years of employment as a software developer
Master of Science (MSc), Genetics, Master of Science (MSc), Genetics at University of Otago
Doctor of Philosophy (PhD), Human/Medical Genetics, Doctor of Philosophy (PhD), Human/Medical Genetics at University of California, Los Angeles
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