Portfolio

A selection of projects and repositories I'm proud of.

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  renalprog

  Python, PyTorch

  A Python package for simulating kidney cancer progression, combining synthetic data generation with interpretable modeling to study how the disease evolves over time.

  Kidneys icons created by Smashicons - Flaticon

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  synthetic_medulloblastoma

  Python, PyTorch

  Code to reproduce the paper "Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation," using a Variational Autoencoder and explainability techniques to uncover an intermediate molecular subgroup between Groups 3 and 4.

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  bitsxlamarato-medulloblastoma

  Python

  Hackathon project building an AI model that scores the G3/G4 medulloblastoma subgroup continuum from transcriptomics data, developed during the BitsxLaMarató hackathon. Winning team's repo: FLOOREES/BitsxLaMarato-2025-BSC.

• 

  HB_app

  Python, Dash

  Code for the hepatoblastoma biomarker web application hosted at clo.life.bsc.es, supporting diagnostic and prognostic biomarker validation, including Molecular Risk Stratification (MRS).

  Interactive icons created by Magnific - Flaticon

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  MinSizeML

  R

  MinSizeML (Minimum Size for Machine Learning), an R package with functions to estimate the minimum sample size needed for supervised learning classification tasks.

• 

  irreversibility_master_thesis_guillermo

  Julia

  Code to reproduce the master's thesis "Irreversibility in Early Mammalian Embryonic Stem Cells," studying the dynamics and irreversibility of early cell fate decisions.