Ryan Thompson, PhD
About Me
Ryan Thompson, PhD is an Assistant Professor in the Division of Data Driven and Digital Medicine (D3M) in the Department of Medicine in the Icahn School of Medicine at Mount Sinai. He completed his PhD at Scripps Research in La Jolla, CA. Dr. Thompson has a 15-year history of applying and adapting bioinformatics methods to address both anticipated and unanticipated research challenges, even developing new methods when the need arises. His broad methodological background includes normalization, differential expression, machine learning, gene set testing, and data visualization with both sequencing and array-based data. In addition, he has a broad background in general biology and in immunology in particular, along with a strong foundation in statistics. He has authored a peer-reviewed article in Nature Medicine on the early etiology of Long COVID in patients hospitalized for COVID-19. In his current work at Mount Sinai, he has developed a colored graph visualization tool to aid in quick and accurate identification and correction of mislabeled samples in a data set of over 2000 RNA-seq and whole-genome sequencing samples. His broad understanding of commonly used statistical and computational methods enables him to continue adapting to and overcoming unexpected analysis challenges that may arise in the course of his research.
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About Me
Ryan Thompson, PhD is an Assistant Professor in the Division of Data Driven and Digital Medicine (D3M) in the Department of Medicine in the Icahn School of Medicine at Mount Sinai. He completed his PhD at Scripps Research in La Jolla, CA. Dr. Thompson has a 15-year history of applying and adapting bioinformatics methods to address both anticipated and unanticipated research challenges, even developing new methods when the need arises. His broad methodological background includes normalization, differential expression, machine learning, gene set testing, and data visualization with both sequencing and array-based data. In addition, he has a broad background in general biology and in immunology in particular, along with a strong foundation in statistics. He has authored a peer-reviewed article in Nature Medicine on the early etiology of Long COVID in patients hospitalized for COVID-19. In his current work at Mount Sinai, he has developed a colored graph visualization tool to aid in quick and accurate identification and correction of mislabeled samples in a data set of over 2000 RNA-seq and whole-genome sequencing samples. His broad understanding of commonly used statistical and computational methods enables him to continue adapting to and overcoming unexpected analysis challenges that may arise in the course of his research.