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@cbg-ethz @BoevaLab

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pawel-czyz/README.md

Welcome!

I'm a doctoral fellow at the ETH AI Center, aiming to develop computational tools that can advance precision medicine and our understanding of cancer.

I am generally interested in:

  • probabilistic machine learning,
  • Bayesian statistics,
  • cancer genomics and transcriptomics.

Personal website: https://pawel-czyz.github.io/. Contact: pawelpiotr.czyz [at] ai.ethz.ch.

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  1. cbg-ethz/bmi cbg-ethz/bmi Public

    Mutual information estimators and benchmark

    Python 36 5

  2. cbg-ethz/Jnotype cbg-ethz/Jnotype Public

    Probabilistic modeling of high-dimensional binary data in JAX

    Python 2

  3. channel-capacity-estimator channel-capacity-estimator Public

    Tool for channel capacity estimation

    Python 7 3

  4. labelshift labelshift Public

    Bayesian Quantification with Black-Box Estimators

    Python 1

  5. cbg-ethz/pMHN cbg-ethz/pMHN Public

    Personalised mutual hazard networks

    Python 3

  6. cbg-ethz/PYggdrasil cbg-ethz/PYggdrasil Public

    Inference and analysis of mutation trees in Python

    Python 6