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mhurtado13/README.md

Marcelo Hurtado 👨‍💻

Bioinformatics Scientist

👾  About Me

  • 👩‍🔬 PhD student in Computational Biology.
  • 🧬 Research interests in Cancer biology and Immunooncology.
  • 🔭 Currently working in modeling multiscale and multicellular systems in Cancer Biology.
  • 💻 Experienced working with transcriptomics data, machine learning models, data visualization, and data analysis in R and Python.
  • 👨‍💻 Additional experience using computational tools for genome editing (CRISPR Cas9, gRNAs, Zinc Fingers).
  • 🌱 Interested in learning about spatial transcriptomics, reinforcement learning and epigenomics.

Connect with me:

@marcelohurt13 marcelo-hurtado/ marcelo-hurtado/

Languages and Tools:

R Python  HTML5  CSS3  Git  GitHub  LINUX VSCode  MySQL Cpp 

mhurtado13

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  1. VeraPancaldiLab/LungPredict1 VeraPancaldiLab/LungPredict1 Public

    Profiling the Non-Small Cell Lung Cancer (NSCLC) microenvironment by integrating transcriptomics to uncover potential phenotypic profiles associated to patterns in immune infiltration

    R

  2. VeraPancaldiLab/GEMDeCan_deconvolution VeraPancaldiLab/GEMDeCan_deconvolution Public

    Snakemake pipeline to perform immune cell type deconvolution in bulk RNAseq data using gene expression and methylation signatures.

    R 1 1

  3. PhysiCell_NLC_CLL_GUI PhysiCell_NLC_CLL_GUI Public

    A Physicell ABM model of monocyte differentiation into tumor associated macrophages in Chronic Lymphocytic Leukemia (CLL).

    C++

  4. RLearn RLearn Public

    A practical introduction to Reinforcement Learning (RL) in Python

    Jupyter Notebook

  5. VeraPancaldiLab/LungPredict1_paper VeraPancaldiLab/LungPredict1_paper Public

    Profiling the Non-Small Cell Lung Cancer (NSCLC) microenvironment by integrating transcriptomics to uncover potential phenotypic profiles associated to patterns in immune infiltration

    R 2