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Georg Hahn, Ph.D.

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Overview
Hi there! Following my one-year EPSRC doctoral prize fellowship at the Statistics Department of Imperial College London (2016-17), and a research associate position in the StatScale project (2017-19), I am currently a research associate at Harvard University working on statistics methodology in the Biostatistics Department of the Harvard T.H. Chan School of Public Health.

Please have a look at my personal website for my complete CV, a complete list of my publications, as well as an overview of my research interests.

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Hahn G, Wu CM, Lee S, Lutz SM, Khurana S, Baden LR, Haneuse S, Qiao D, Hecker J, DeMeo DL, Tanzi RE, Choudhary MC, Etemad B, Mohammadi A, Esmaeilzadeh E, Cho MH, Li JZ, Randolph AG, Laird NM, Weiss ST, Silverman EK, Ribbeck K, Lange C. Genome-wide association analysis of COVID-19 mortality risk in SARS-CoV-2 genomes identifies mutation in the SARS-CoV-2 spike protein that colocalizes with P.1 of the Brazilian strain. Genet Epidemiol. 2021 Jun 22. PMID: 34159627.
    Citations:    Fields:    
  2. Hahn G, Lee S, Weiss ST, Lange C. Unsupervised cluster analysis of SARS-CoV-2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS-CoV-2 virus. Genet Epidemiol. 2021 04; 45(3):316-323. PMID: 33415739.
    Citations:    Fields:    Translation:HumansPHPublic Health
  3. Hahn G, Lee S, Weiss ST, Lange C. Unsupervised cluster analysis of SARS-CoV-2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS-CoV-2 virus. bioRxiv. 2020 Nov 20. PMID: 32637949.
    Citations:    
  4. Hahn G, Lutz SM, Hecker J, Prokopenko D, Cho MH, Silverman EK, Weiss ST, Lange C. locStra: Fast analysis of regional/global stratification in whole-genome sequencing studies. Genet Epidemiol. 2021 Feb; 45(1):82-98. PMID: 32929743.
    Citations: 1     Fields:    
  5. Hahn G, Cho MH, Weiss ST, Silverman EK, Lange C. Unsupervised cluster analysis of SARS-CoV-2 genomes indicates that recent (June 2020) cases in Beijing are from a genetic subgroup that consists of mostly European and South(east) Asian samples, of which the latter are the most recent. bioRxiv. 2020 Jun 30. PMID: 32637951.
    Citations: 1     
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.