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General Information

Full Name Daniel Gómez Pérez
Skills Molecular Biology, Microbiology, Bioinformatics, Machine Learning, Data Science
Languages Spanish, English, German

Experience

  • 2024 - present
    Postdoctoral Researcher
    Earlham Institute, Norwich, UK
    • Developing computational methods for multi-omics integration in gut microbiome analysis
    • Implementing machine learning pipelines for microbial community analysis
    • Leading research on linking microbial genotypes to phenotypes using LLMs
  • 2023 - 2024
    Postdoctoral Researcher
    Ludwig Maximilian University of Munich, Munich, Germany
    • Investigated diversity loss patterns in host-associated microbiomes
    • Developed machine learning models for microbial phenotype prediction
    • Collaborated on international microbiome research projects

Education

  • 2023
    PhD in Biology
    University of Tübingen, Tübingen, Germany
    • Protein-based interactions in microbial communities: the roles of amyloids and antimicrobials
  • 2018
    MSc in Medical Life Sciences
    University of Kiel, Kiel, Germany
    • Evolution of Putrescine N‑methyltransferase.
  • 2015
    Licenciatura in Pharmacy
    University of Santiago de Compostela, Santiago de Compostela, Spain