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GabrielCabas/README.md

Hi there 👋

  • 😄 My name is Gabriel. I'm a bioinformatics engineer, with a professional focus on applying Deep Learning and Machine Learning in bioinformatics. I'm a member of DiGenomaLab in Rancagua, Chile.
  • 🔭 I have hands-on experience in the application of Deep Learning to histological image analysis, leveraging AI to analyze tissue samples and detect patterns that aid in medical diagnosis.
  • 🌱 I am also increasingly focused on the application of Machine Learning algorithms to genomics, with a particular emphasis on GWAS (Genome-Wide Association Studies), polygenic risk scores, and omics data analysis. My goal is to advance in the prediction of genetic variants, the identification of risk factors for complex diseases, and the personalization of treatments in precision medicine.
  • 👯 I'd like to collaborate on innovative projects that integrate engineering, computational biology, artificial intelligence, and medical imaging, focusing on creating solutions that can have a real impact on science and health.
  • 📫 You can contact me on Linkedin and we can talk about nerdy stuff.

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  1. CMM_Summer_Course_2026 CMM_Summer_Course_2026 Public

    Applying Deep Learning to Histopathology.

    Jupyter Notebook 1

  2. HistoMILTrainer HistoMILTrainer Public

    Forked from digenoma-lab/HistoMILTrainer

    Python library to train Multi Instance Learning algorithms in histology for custom tasks.

    Jupyter Notebook

  3. Eval-RF-hap Eval-RF-hap Public

    Forked from digenoma-lab/Eval-RF-hap

    Nextflow pipeline to evaluate RFhap results

    Nextflow

  4. rfhap rfhap Public

    Forked from digenoma-lab/rfhap

    Random Forest for the Classification of Paternal and Maternal Haplotypes from Long-Read Sequencing Data.

    Python