Yu Xiang

Yu Xiang

Senior Scientist, Bioinformatics @ Singular Genomics

About Yu Xiang

Yu Xiang is a Senior Scientist in Bioinformatics at Singular Genomics, specializing in genomics, epigenomics, and transcriptomics analysis. With a strong academic background and extensive collaboration experience, he has contributed to 40 publications and over 3,000 citations in the field.

Work at Singular Genomics

Yu Xiang currently serves as a Senior Scientist in Bioinformatics at Singular Genomics, a role he has held since 2022. Located in San Diego, California, his work focuses on the analysis of large-scale next-generation sequencing (NGS) datasets. His position involves the development of computational analysis pipelines that enhance genomic research capabilities.

Previous Experience at Duke University

Prior to his current role, Yu Xiang worked as a Postdoctoral Associate in Bioinformatics at Duke University from 2018 to 2022. During his four years there, he collaborated with both academic and industry partners, contributing to a significant body of work that includes 40 publications and over 3,000 citations.

Postdoctoral Fellowship at UTHealth

Yu Xiang was a Postdoctoral Fellow in Bioinformatics at The University of Texas Health Science Center at Houston (UTHealth) from 2016 to 2018. His two-year tenure involved research that furthered his expertise in bioinformatics and contributed to his extensive publication record.

Education and Expertise

Yu Xiang holds a Bachelor's degree in Biotechnology from Wuhan University, where he studied from 2004 to 2008. He also earned a Doctor of Philosophy (PhD) in Microbiology from the Institut Pasteur of Shanghai, completing his studies from 2008 to 2015. His academic background provides a strong foundation in experimental biology, particularly in cancer biology and immunology.

Research Contributions and Specializations

Yu Xiang specializes in the analysis of genomics, epigenomics, and transcriptomics, particularly focusing on large-scale NGS datasets. He has developed methods and computational analysis pipelines that support advanced genomic research, showcasing his extensive expertise in the field.

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