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mhurtado13/README.md

Marcelo Hurtado πŸ‘¨β€πŸ’»

Bioinformatics Scientist Β· Computational Biology PhD Researcher

Website ORCID LinkedIn Twitter

About me

I am a bioengineer and bioinformatics scientist pursuing a PhD in Computational Biology, working in the Cancer Research Center of Toulouse and the Vera Pancaldi Lab.

My research focuses on understanding cancer biology and tumor ecosystems through quantitative and computational approaches, including multiscale and multicellular modeling, transcriptomics, and immuno-oncology.

  • 🧬 Cancer biology, tumor microenvironment, and immuno-oncology
  • πŸ”¬ Bulk and single-cell RNA-sequencing analysis, cell-type deconvolution, and gene regulatory networks
  • πŸ€– Machine learning and computational modeling for biological systems
  • πŸ§ͺ Computational genome editing with CRISPR-Cas9, gRNAs, and zinc fingers
  • 🌱 Currently exploring spatial transcriptomics, reinforcement learning, and epigenomics

Software tools

These are the main software packages I have developed

multideconv logo
multideconv
pipeML logo
pipeML
CellTFusion logo
CellTFusion
RaCInG logo placeholder
RaCInG 2.0

Note: RaCInG 2.0 is an improved version of an existing package, check the project for more details.

Projects

Project Description
LungPredict1_paper Profiling the NSCLC tumor microenvironment from transcriptomic data.
LungPredict_DC_paper Transcriptomic and spatial analysis of dendritic-cell subsets in immunotherapy response.
NLC-CLL_HPC_exploration Parameter exploration for the NLC–CLL PhysiCell model.
ABM_NLC-CLL Agent-based modeling of NLC dynamics in chronic lymphocytic leukemia.

Technical skills

Programming and analysis

R Python C++ SQL

Platforms and tools

Linux Git GitHub VS Code HTML5 CSS3

GitHub activity

GitHub statistics for Marcelo Hurtado Most used programming languages

πŸ“« For collaborations, research questions, or project discussions, please reach out through LinkedIn or visit my website.

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  1. VeraPancaldiLab/multideconv VeraPancaldiLab/multideconv Public

    Integrative pipeline for cell type deconvolution from bulk RNAseq using first and second generation methods

    R 7

  2. VeraPancaldiLab/pipeML VeraPancaldiLab/pipeML Public

    A flexible and modular machine learning framework designed to support leakage-free model training through custom cross-validation fold construction

    R 3

  3. ABM_NLC-CLL ABM_NLC-CLL Public

    An Agent-Based-model (ABM) of NLC-CLL differentiation from PBMC cultures in CLL using the Physicell software

    Jupyter Notebook 1 1

  4. 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 3

  5. VeraPancaldiLab/CellTFusion VeraPancaldiLab/CellTFusion Public

    Integration of immune-cell type deconvolution features and prior-knowledge networks of TFs-gene interactions to characterize potential cell states of the tumor microenvironment using bulk RNAseq data

    R 4

  6. VeraPancaldiLab/RaCInG_package VeraPancaldiLab/RaCInG_package Public

    RaCInG 2.0: Integrating multiple deconvolution methods for fine-grained cell-cell communication network inference in the tumor microenvironment from bulk RNA-seq data

    R 1