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  • Yale University
  • London, UK

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sethnr/README.md

Seth Redmond, PhD

Computational biologist | Translational pathogen genomics | Population genetics

I am an infectious disease geneticist working at the Yale School of Public Heath. I develop and apply genomic methods to understand infectious disease epidemiology, drug resistance, and vector evolution — translating research into impact for public and global health.

  • Methods: amplicon sequencing, lineage/resistance calling, admixture mapping, selection inference, CNV detection
  • Pathogens: RSV/HMPV · TB · Malaria · Arboviruses · Malaria vectors · Arboviral vectors
  • Tools: Python · R · PyTorch/CUDA · Snakemake/Nextflow · Terra · Docker · PBS/HPC
  • Google Scholar · Yale profile
  • github pages · LinkedIn

Open to collaborations in assay development, genomic surveillance, and translational global health bioinformatics.

Open to opportunities in infectious disease genomics, biomarker & assay innovation, and computational biology R&D

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  1. refchaser refchaser Public

    LLM-assisted reference extraction and context building for scientific papers

    Python

  2. cck42/YSPH_TBseq cck42/YSPH_TBseq Public

    R 1

  3. YSPH_RSV YSPH_RSV Public

    Analysis and processing code for genomic surveillance of deeply sampled local RSV cases

    Jupyter Notebook 1

  4. Aaeg1200g_admixture_resistance Aaeg1200g_admixture_resistance Public

    Admixture and contemporary migration inference for Aedes aegypti [Crawford et al, Science, 2025]

    Jupyter Notebook

  5. HSPH_Pf_transmission_networks HSPH_Pf_transmission_networks Public

    analysis files; Redmond et al MBE 2020

    PostScript

  6. HSPH_Pf_ML_geolocaliser HSPH_Pf_ML_geolocaliser Public

    geographical classicification by machine learning

    Python