• One Gustave L. Levy Place

    10029-6574 New York

    United States

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Personal profile


ASSISTANT PROFESSOR | Medicine, Data Driven & Digital Medicine


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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Collaborations and top research areas from the last five years

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  • Persistent complement dysregulation with signs of thromboinflammation in active Long Covid

    Cervia-Hasler, C., Brüningk, S. C., Hoch, T., Fan, B., Muzio, G., Thompson, R. C., Ceglarek, L., Meledin, R., Westermann, P., Emmenegger, M., Taeschler, P., Zurbuchen, Y., Pons, M., Menges, D., Ballouz, T., Cervia-Hasler, S., Adamo, S., Merad, M., Charney, A. W., Puhan, M., & 8 othersBrodin, P., Nilsson, J., Aguzzi, A., Raeber, M. E., Messner, C. B., Beckmann, N. D., Borgwardt, K. & Boyman, O., Jan 2024, In: Science. 383, 6680, p. 1-18 18 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    19 Scopus citations
  • Circulating proteins to predict COVID-19 severity

    The Mount Sinai COVID-19 Biobank Team, Dec 2023, In: Scientific Reports. 13, 1, 6236.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    2 Scopus citations
  • Erratum to: Mapping the human genetic architecture of COVID-19 (Nature, (2021), 600, 7889, (472-477), 10.1038/s41586-021-03767-x)

    COVID-19 Host Genetics Initiative, 7 Sep 2023, In: Nature. 621, 7977, p. E7-E26

    Research output: Contribution to journalLetterpeer-review

  • Molecular states during acute COVID-19 reveal distinct etiologies of long-term sequelae

    The Mount Sinai COVID-19 Biobank Team, 1 Jan 2023, In: Nature Medicine. 29, 1, p. 236-246 11 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    21 Scopus citations
  • A first update on mapping the human genetic architecture of COVID-19

    COVID-19 Host Genetics Initiative, Writing Group, Analysis group, Project management group, Scientific communication group, AncestryDNA COVID-19 Research Study, BelCovid, Biobanque Quebec COVID-19, CCHC COVID-19 GAWS, CHOP CAG, The Colorado Center for Personalized Medicine, Coronagenes, Egypt hgCOVID hub, EraCORE, Estonian Biobank, EXCEED, FinnGen, Functional Host Genomics in Infectious Diseases (FHoGID), RegCOVID, P-PredictUs, & 31 othersSeroCOVID, CRiPSI, GCAT Genomes For Life, GEN-COVID Multicenter Study, Generation Scotland, Genes & Health, Genes & Health Research Team, Genes for Good, Genome-wide assessment of the gene variants associated with severe COVID-19 phenotype in Iran, Host genetic factors in COVID-19 patients in relation to disease susceptibility, disease severity and pharmacogenomics, HUNT, LifeLines, Mass General Brigham-Host Vulnerability to COVID-19, Michigan Genomics Initiative, Mount Sinai Health System COVID-19 Genomics Initiative, MyCode Health Initiative, Netherlands Twin Register, Penn Medicine BioBank, Saudi Human Genome Program-COVID19: Host Genomic markers predicting the severity and suitability to COVID-19 in highly consanguineous population, The genetic predisposition to severe COVID-19, The Norwegian Mother, Father and Child Cohort Study, TwinsUK, UK 100,000 Genomes Project (Genomics England), UK Biobank, UK Blood Donors Cohort, Million Veteran Program, Vanda COVID, Variability in immune response genes and severity of SARS-CoV-2 infection (INMUNGEN-CoV2 study), Women’s Genome Health Stud, Phenotype steering group & COVID-19 HGI, 4 Aug 2022, In: Nature. 608, 7921, p. E1-E10

    Research output: Contribution to journalLetterpeer-review

    Open Access
    61 Scopus citations